Table of Contents
Overview
Definition of Robotics
Robotics is a multidisciplinary field that integrates science, engineering, and creativity to design and develop machines capable of performing tasks autonomously or semi-autonomously. The history of robotics is a vital chapter in technological progress, tracing back to ancient concepts and philosophical musings that laid the groundwork for modern advancements. These early ideas have evolved significantly, leading to sophisticated robots that are now prevalent in various sectors, including manufacturing, healthcare, and domestic assistance.[5.1] The evolution of robotics has seen a remarkable expansion beyond mere automata, with significant milestones marking its development. In the 1980s, robotics began to diversify its applications, moving beyond industrial uses to encompass a broader range of functionalities, such as space exploration and personal assistance.[4.1] This convergence of technology has reshaped industries and continues to influence daily life through the integration of AI-driven machines.[5.1]Key Components of Robotics
Robotics is an interdisciplinary field that integrates engineering, computer science, and technology to design, build, and deploy robots capable of performing tasks autonomously or semi-autonomously. The key components of robotics encompass various principles and technologies that enhance the functionality, efficiency, and adaptability of robotic systems. At the core of robotics are fundamental engineering principles that guide the design and programming of robots. These principles include mechanics, control systems, and sensor integration, which are essential for creating machines that can operate effectively in diverse environments. Successful robotic systems achieve a balance between hardware innovations—such as advanced actuators and energy-efficient components—and intelligent software that enables real-time processing and decision-making.[25.1] The relevance of robotics in engineering is underscored by its ability to enhance efficiency, precision, and safety across various applications, making it a cornerstone of modern technological advancements.[23.1] Robotics design principles focus on optimizing functionality, safety, and usability, particularly in manufacturing systems where precision and adaptability are critical.[22.1] Moreover, advancements in machine learning and artificial intelligence have significantly transformed robotics, allowing robots to process vast amounts of data, recognize patterns, and make informed decisions without explicit programming. This adaptability is crucial for operating in unpredictable environments, where robots must navigate complex scenarios and interact with diverse elements.[11.1] For instance, robots equipped with machine learning can effectively navigate obstacles in real-time, as demonstrated by applications such as robotic vacuum cleaners and drones.[9.1]History
Early Developments in Robotics
The early developments in robotics can be traced back to ancient civilizations, where ingenious designs utilized hydraulics, gears, and complex mechanisms to create automated devices such as water clocks and musical instruments.[57.1] This foundational work laid the groundwork for future innovations in the field. In the early 20th century, a significant period of experimentation and innovation emerged, characterized by the invention of teleoperators, which enabled humans to remotely control machines.[55.1] This era also saw advancements in machine learning techniques and neural networks, allowing robots to perform increasingly complex tasks and interact with humans in more intuitive ways.[55.1] The introduction of robotic arms to assembly lines in the 1980s marked another pivotal moment, enhancing efficiency and safety in manufacturing processes.[56.1] A landmark achievement in the history of robotics was the development of the Unimate, recognized as the first "true" industrial robot. This robot was based on a mechanical arm design patented in 1954 by George Devol and was further developed by Joseph Engelberger, who is often referred to as the "Father of Robotics".[73.1] The Unimate's success not only revolutionized the manufacturing industry but also paved the way for subsequent advancements in industrial robotics.[73.1] Another critical milestone was the creation of the Stanford Arm in 1969 by Victor Scheinman, which was the first all-electric manipulator controlled by a microprocessor.[70.1] This innovation represented a significant leap in robotic technology, as it allowed for more precise control and functionality in robotic systems.[70.1] The challenges faced during the development of these early robotic systems, such as the need for reliable control mechanisms and the integration of electric motors, ultimately influenced the trajectory of robotics technology, leading to more sophisticated and capable machines in the following decades.[73.1]Milestones in Robotics Evolution
The evolution of robotics has been marked by several significant milestones that have shaped the industry and its applications. The timeline of robotics development began as early as 1400 B.C.E. with the Babylonians' creation of the water clock, which is considered one of the first robotic devices.[54.1] The 20th century saw a rapid advancement in robotics, starting with the introduction of the term "robot" in 1921 and the first programmable robot arm designed by George Devol and Joe Engelberger in 1954, which marked the inception of industrial robotics.[54.1] In the following decades, notable innovations included the installation of the first robotic arm on a factory floor in 1959 and the development of Shakey, the first mobile robot capable of reasoning about its surroundings, in the late 1960s.[54.1] The introduction of the Stanford Arm in 1969, recognized as the first electronic computer-controlled robotic arm, further showcased advancements in robotic technology.[53.1] By the 1970s, the first robot to utilize artificial intelligence was developed, paving the way for more sophisticated robotic systems.[51.1] The 21st century has witnessed the integration of advanced technologies such as artificial intelligence (AI) and the Industrial Internet of Things (IIoT) into robotics. FANUC, a leading pioneer in the field, has expanded its portfolio to include these technologies, enhancing operational efficiency and productivity in manufacturing environments.[81.1] The emergence of collaborative robots (cobots) and autonomous mobile robots has also transformed the landscape, allowing for more versatile applications across various industries.[52.1] As robotics continues to evolve, the focus has shifted from purely industrial applications to more social and assistive roles, reflecting changing public perceptions and ethical considerations surrounding the technology.[74.1] This evolution underscores the importance of developing ethical guidelines and standards to govern the behavior of robots and ensure their responsible integration into society.[77.1]Recent Advancements
Integration of Artificial Intelligence
The integration of artificial intelligence (AI) into robotics has significantly transformed various industries, enhancing operational efficiency and enabling new capabilities. In 2023, AI-powered robotics have made notable advancements across sectors such as healthcare, manufacturing, and logistics, where they are increasingly utilized to perform complex tasks with precision and reliability.[97.1] For instance, in healthcare, robots are being employed to assist in delicate surgeries and improve patient care outcomes through enhanced precision and control.[97.1] However, the integration of AI in robotics is not without challenges. One of the primary obstacles is the need for seamless integration with existing systems, particularly in healthcare, where AI robots must interface with electronic health records (EHR) and other legacy systems. This often necessitates extensive customization and data harmonization to ensure effective information processing.[94.1] Additionally, in the manufacturing sector, the lack of technological infrastructure and limited real-time data processing capabilities pose significant barriers to the adoption of AI-driven robotics.[95.1] Despite these challenges, the potential benefits of AI integration in robotics are substantial. As AI technologies continue to evolve, they are expected to reshape industries by improving productivity, creating new business opportunities, and addressing complex challenges.[95.1] The ongoing advancements in AI and robotics are indicative of a future where robots can perform a wider range of tasks, thereby transforming the economic landscape and redefining operational paradigms across various sectors.[98.1]Collaborative Robots (Cobots)
Collaborative robots, commonly referred to as cobots, are significantly transforming the landscape of automation across various industries. These robots are designed to work alongside human operators, enhancing productivity and efficiency while ensuring a safe working environment. The integration of cobots into manufacturing processes has led to the development of human–robot collaboration (HRC) systems, where robots and humans operate together harmoniously to achieve improved productivity and faster cycle times. This collaboration not only preserves workplace safety but also allows human operators to make crucial decisions that impact the entire production process.[106.1] The rise of cobots is particularly notable in sectors such as aerospace, automotive, electronics, pharmaceuticals, and food and beverage processing, where they enable high-precision and adaptable manufacturing.[107.1] As traditional fixed robotic systems struggle to meet the demands of high-mix, low-volume production, cobots offer a flexible solution that can easily adapt to changing production needs.[108.1] Their ability to automate repetitive tasks, such as assembly, welding, and material handling, enhances process automation and reduces downtime, thereby increasing overall production efficiency.[110.1] Moreover, the advancements in robotics arm design, including the integration of soft robotics and AI-driven motion planning, are paving the way for more intelligent manufacturing systems. These innovations contribute to the flexibility and adaptability of cobots, allowing them to handle dynamic and unpredictable environments effectively.[109.1] As a result, the collaborative nature of these robots is revolutionizing the manufacturing industry, enabling more efficient and effective production systems that can respond swiftly to market demands.[106.1]In this section:
Applications Of Robotics
Industrial Applications
Robotics has become an integral part of modern engineering, significantly transforming various industries by enhancing efficiency, precision, and safety. The application of robotics in industry is a testament to the technological advancements that have revolutionized traditional manufacturing and production processes. Industrial robots are utilized for a wide range of tasks, including assembly, welding, painting, and material handling, which have collectively improved operational efficiency and reduced human error in manufacturing environments.[132.1] The evolution of robotics technology has made it increasingly accessible to a broader range of manufacturing enterprises. The decreasing costs of robotic systems, along with modular and scalable solutions, have facilitated the integration of robotics into small and medium-sized manufacturers, thereby leveling the playing field within the industry.[138.1] This democratization of technology has allowed more businesses to leverage robotic systems to enhance productivity and competitiveness. In the healthcare sector, medical robotics is rapidly evolving, holding immense potential for improving patient care and treatment outcomes. The integration of robotic systems and AI into medical applications is expected to lead to more efficient healthcare delivery systems.[133.1] This includes robotic-assisted surgeries, rehabilitation robots, and automated systems for patient monitoring, which collectively enhance the quality of care provided to patients. Furthermore, advancements in robotics have also influenced the skill sets required for workers in manufacturing. Focused training programs that integrate robotics skills have been shown to improve worker productivity on automated tasks by more than 70%. As automation and AI technologies continue to transform the workplace, the demand for technological, social, and emotional skills is expected to rise, while the need for physical and manual skills may decline.[161.1] This shift necessitates that workers deepen their existing skill sets or acquire new ones to remain relevant in an increasingly automated environment.Healthcare Applications
Robotics is significantly transforming healthcare by enhancing patient care and medical practices across various domains. One of the most notable applications is in robotic-assisted surgery, which allows for minimally invasive procedures that improve surgical precision and control. This technique has been shown to reduce postoperative complications and enhance patient outcomes, as the stability and precision of robotic arms minimize the risk of errors during surgery.[167.1] Furthermore, advancements in robotic systems have led to the development of telesurgery, enabling surgeons to perform operations remotely, thereby overcoming geographical barriers and improving access to surgical care for patients in underserved areas.[167.1] In addition to surgical applications, robotics is also making strides in rehabilitation and patient monitoring. For instance, socially assistive robots are being developed to support stroke and brain injury survivors in completing rehabilitation routines, which currently have low adherence rates.[151.1] These robots can provide personalized care and assist with physical assessments during virtual consultations, thereby enhancing the quality of care and ensuring that healthcare professionals have access to comprehensive patient data.[150.1] The integration of artificial intelligence (AI) with robotics is further revolutionizing healthcare by improving diagnostic accuracy and operational efficiency. AI-driven platforms can process vast amounts of medical data, reducing diagnostic errors and optimizing resource allocation.[170.1] This synergy between robotics and AI not only enhances surgical planning and execution but also allows for real-time analytics that improve clinical decision-making.[170.1] The global healthcare robotics market is driven by societal needs, such as an aging population and the rise of chronic diseases, alongside technological advancements in AI and machine learning.[152.1] Service robots are increasingly utilized to handle repetitive tasks, such as delivering supplies and sanitizing rooms, which alleviates the burden on healthcare staff and contributes to a more sustainable healthcare system.[152.1] As these technologies continue to evolve, they promise to enhance patient accessibility and improve the overall quality of care, paving the way for a more efficient and effective healthcare landscape.[149.1]In this section:
Future Trends
Emerging Technologies in Robotics
Emerging technologies in robotics are poised to significantly reshape various industries, driven by advancements in artificial intelligence (AI), machine learning, and automation. One of the most notable trends is the integration of AI into robotics, which enables robots to perform increasingly complex tasks with greater autonomy. This integration allows robots to make real-time decisions based on sensory data, moving beyond rigid pre-programmed instructions to more agile and self-evaluated actions.[180.1] The rise of Autonomous Mobile Robots (AMRs) is another key development, particularly in logistics and supply chain management. These robots are expected to enhance operational efficiency and scalability, marking a shift towards Robotics as a Service (RaaS) models that provide flexible automation solutions.[178.1] Furthermore, the emergence of collaborative robots, or cobots, signifies a trend towards human-robot collaboration, where robots work alongside humans to improve productivity and safety in various environments.[177.1] Soft robotics is also gaining traction, with applications across diverse fields. This technology promises more versatile and adaptable automation solutions, enhancing human-machine interactions and making automation accessible to smaller manufacturers.[172.1] Additionally, the development of fast-learning robots, which can quickly adapt to new tasks through advanced AI training methods, is set to revolutionize how robots are deployed in real-world scenarios.[176.1] As the robotics industry continues to evolve, the focus on sustainability and digitalization is becoming increasingly prominent. Emerging robotics trends are meeting the growing demand for sustainable practices, with innovations that prioritize energy efficiency and resource conservation.[175.1] Overall, the future of robotics is characterized by a convergence of advanced technologies that enhance the capabilities of robots, making them more intelligent, autonomous, and integrated into everyday processes.[174.1]Robotics in New Industries
Soft robotics is emerging as a transformative force across various industrial sectors, leveraging flexible materials to create robots that mimic the movements of living organisms. This innovative approach allows for greater dexterity compared to traditional rigid robots, making soft robots particularly advantageous in applications requiring delicate handling and adaptability.[185.1] The integration of soft robotics is expected to revolutionize manufacturing processes, enhancing efficiency and safety while enabling researchers to draw inspiration from nature.[186.1] The potential applications of soft robotics span a wide range of industries. For instance, in healthcare, soft robots can assist in surgeries or rehabilitation, providing gentle and precise movements that are crucial for patient safety.[182.1] In agriculture, these robots can perform tasks such as harvesting crops without damaging them, thereby increasing productivity and reducing waste.[184.1] Additionally, the adaptability of soft robots makes them suitable for use in environments that are hazardous or difficult for humans to navigate, such as disaster response scenarios.[182.1] As the global robotics market continues to expand, projected to grow from $78.4 billion in 2024 to $165.2 billion by 2029, the demand for soft robotics is likely to increase significantly.[208.1] This growth is driven by the need for automation and efficiency across various sectors, highlighting the importance of soft robotics in meeting these demands.[209.1] Furthermore, the development of business models such as Robots-as-a-Service (RaaS) is facilitating the adoption of robotic solutions, allowing companies to access advanced technologies without the burden of high upfront costs.[211.1] This trend is expected to further accelerate the integration of soft robotics into new industries, making them indispensable tools for the future.In this section:
Challenges And Considerations
Technical Challenges
The field of robotics faces numerous technical challenges that must be addressed to advance the capabilities and applications of robotic systems. One of the primary challenges is the development of artificial intelligence (AI) that can effectively learn and adapt to various tasks and environments. This includes the need for robots to improve their navigation and exploration abilities, as well as the creation of robot swarms that can operate collaboratively.[217.1] The integration of advanced technologies such as AI, computer vision, and sensor fusion is crucial for enhancing the autonomy and efficiency of robotic systems.[230.1] Another significant challenge lies in the realm of social robotics, particularly in enabling robots to understand and respond to human emotions and social cues. Implementing emotional skills in robots is essential for fostering genuine interactions with humans, yet it presents both technical and ethical dilemmas.[237.1] The ability of robots to infer and interpret human emotions is a critical aspect of making human-robot interactions more intuitive and natural.[238.1] Furthermore, sustaining long-term human-robot interaction (HRI) requires a focus on empathy and emotion understanding, which remains a complex area of research.[239.1] User-centered design evaluation is also vital in the development of HRI systems, ensuring that the needs and preferences of users are prioritized.[240.1] As the field continues to evolve, addressing these technical challenges will be essential for the successful integration of robots into everyday human environments and tasks.Ethical and Economic Considerations
The ethical considerations surrounding robotics encompass a range of issues, including job displacement, privacy, accountability, and bias in artificial intelligence (AI) systems. As robotics technology continues to evolve, frameworks are being developed to address these ethical challenges, ensuring that robotics are utilized in ways that align with societal values and ethical standards. For instance, the European Union's AI Act, passed in August 2024, represents a significant regulatory advancement aimed at promoting responsible development and use of AI-powered robots, balancing innovation with ethical considerations.[221.1] A comprehensive framework for ethical governance in robotics and AI has been proposed, which integrates ethics, standards, regulation, responsible research, and public engagement. This framework emphasizes the importance of translating ethical principles into actionable governance that prioritizes safety and trust, ultimately ensuring that robotics serve humanity responsibly.[222.1] The implications of robotics vary significantly depending on the level of autonomy and the context in which they are used, highlighting the need for tailored regulatory approaches.[223.1] Coordinated international efforts are essential for creating a cohesive regulatory framework that supports innovation while safeguarding public interests. By collaborating, countries can establish a robust global framework that addresses the complex legal and regulatory challenges posed by advancements in robotics technology.[224.1] Furthermore, as adaptive technologies become more integrated into robotics, understanding the role of social norms in shaping robot design and functionality is increasingly important, particularly concerning fairness and user acceptance.[225.1] Public perception plays a critical role in the acceptance and regulation of robotics and AI technologies. Research indicates that media exposure can significantly influence public attitudes toward robots, with fact-based media contributing positively to trust in robotic systems.[228.1] As robots become more prevalent in various sectors, including healthcare and education, understanding user perceptions and experiences is vital for fostering acceptance and ensuring that robotic behavior aligns with societal expectations.[229.1] Ethical frameworks must be effectively integrated into the design process of robotic systems to ensure accountability and minimize bias. This involves addressing key issues such as autonomy, privacy, and accountability, while focusing on a human-centered approach that prioritizes user needs and well-being.[234.1] By embedding ethical principles into the development of robots, developers can enhance user acceptance and promote trust, facilitating the adoption of robotics in diverse applications such as healthcare and elderly care.[236.1] Addressing these ethical concerns is crucial for aligning robotics engineering with societal values and fostering trust in technology.[235.1]References
[4] The History of Robotics: From Early Concepts to Modern Machines — The History of Robotics: From Early Concepts to Modern Machines | Did You Know Science The History of Robotics: From Early Concepts to Modern Machines The history of robotics spans thousands of years, from ancient Greek myths to modern AI-driven machines. Since then, advancements in AI and computing have led to sophisticated robots used in manufacturing, healthcare, and homes. As you delve deeper into robotics history, you’ll uncover that these ancient concepts and philosophical musings set the stage for the technological advancements that followed. In the 1980s, you’ll see robotics expand beyond industrial applications. You’ll find that these developments have expanded the potential applications of robotics across various industries. From manufacturing and healthcare to space exploration and domestic assistance, AI-driven robots are becoming increasingly prevalent in your daily life.
[5] The history of robotics in a nutshell - ESSERT — The history of robotics is a vital chapter in technological progress. Beyond mere automata, robotics converges science, engineering, and creativity, reshaping industries. As we trace back to the roots of robotics in this article, we will shed light on the major milestones that have led to today's success of robotic solutions in various sectors.
[9] Meet the Coffee-Making Robot That Learns and Adapts in Real Time — A groundbreaking AI-powered robot is redefining what machines can do by preparing coffee in unpredictable environments like busy kitchens. Developed at the University of Edinburgh, this robotic arm isn't just following pre-set commands: it's learning, adapting, and solving problems in real-time.
[11] Artificial intelligence, machine learning and deep learning in advanced ... — Artificial intelligence, machine learning and deep learning in advanced robotics, a review - ScienceDirect Skip to main contentSkip to article Journals & Books Help Search My account Sign in View PDF Download full issue Search ScienceDirect Cognitive Robotics Volume 3, 2023, Pages 54-70 Artificial intelligence, machine learning and deep learning in advanced robotics, a review Author links open overlay panelMohsen Soori a, Behrooz Arezoo b, Roza Dastres c Show more Add to Mendeley Share Cite https://doi.org/10.1016/j.cogr.2023.04.001Get rights and content Under a Creative Commons license open access Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced robotics, making robots more intelligent, efficient, and adaptable to complex tasks and environments. Some of the applications of AI, ML, and DL in advanced robotics include autonomous navigation, object recognition and manipulation, natural language processing, and predictive maintenance. These technologies are also being used in the development of collaborative robots (cobots) that can work alongside humans and adapt to changing environments and tasks. The research presents an overview of current developments in AI, ML, and DL in advanced robotics systems and discusses various applications of the systems in robot modification.
[22] Robotics design principles - (Intro to Industrial Engineering ... — Robotics design principles are the fundamental guidelines and considerations that engineers and designers follow to create effective, efficient, and reliable robotic systems. These principles focus on optimizing the functionality, safety, and usability of robots in various applications, particularly in manufacturing systems where precision, adaptability, and performance are critical for success.
[23] Fundamentals of Robotics — The relevance of robotics in engineering lies in its ability to enhance efficiency, precision, and safety in various applications, making it a cornerstone of modern technological advancements. Fundamentals Basic Principles and Concepts. At its core, robotics involves the creation of machines that can perform tasks autonomously or semi-autonomously.
[25] Robot Design and Architecture: Key Principles and Practices — Successful robotic systems strike a careful balance between hardware innovation—such as advanced actuators, sensors, and energy-efficient components—and intelligent software that facilitates real-time processing and decision-making. Furthermore, the ongoing development of advanced materials and energy-efficient systems is driving innovation, positioning robotics as a key enabler of competitive advantage for businesses looking to enhance their operational capabilities. Energy efficiency remains a key challenge in robotic design, especially for mobile and autonomous systems. The use of advanced materials like carbon fiber and novel alloys offers strength without adding significant weight, helping robots operate more efficiently and increasing their practical application in industries where energy efficiency directly impacts operational success.6 Moreover, robot design and architecture will continue to evolve, with improvements in modularity, actuation, and software systems, making robots more adaptable and efficient.
[51] 13 Milestones in the History of Robotics | Aventine — 13 Milestones in the History of Robotics1804 First Time Mass Production Is Automated1921 The Term Robot Is First Used1949 First Machine Navigates on Its Own1959 First Robotic Arm is Installed on a Factory Floor1969 First Small, Electric-Powered Six-Axis Robot1972 First Robot to Use Artificial Intelligence1978 First “Pick and Place” Robot2000 First “Sociable” Robot Designed to Provoke and React to Emotions2002 Roomba Invades the World’s Living Rooms2003 Kiva Robots Re-Engineer the Warehouse2004 “BigDog” Tramps Through the Mud2005 Self-Driving Cars Pass Their First Big Test2012 Deep Learning Takes Off
[52] A History Timeline of Industrial Robotics - Futura Automation — Work process is “robotized” whenever and wherever possible, to constantly produce high quality motors and reduce lead time
[53] History of Robotics Timeline - Preceden — History of Robotics Timeline | Preceden Image source: Robot One of the first humanoid robots was exhibited at the annual exhibition of the Model Engineers Society in London in 1928, showcasing early advancements in humanoid robotics. Image source: Humanoid robot Image source: Three Laws of Robotics Image source: Industrial robot Victor Scheinman, a mechanical engineering student, created the Stanford Arm in 1969, recognized as the first electronic computer-controlled robotic arm, showcasing advancements in robotic arm technology. Image source: Shakey the robot Image source: Robotics Institute Takeo Kanade created the first "direct-drive arm" in 1981, showcasing advancements in robotic arm technology and control mechanisms. Image source: Android (robot) Image source: Hexapod (robotics) Image source: Robot-assisted surgery
[54] PDF — 1400 B.C.E. The Babylonians develop the water clock, considered one of the first robotic devices. 1892 American engineer Seward Babbitt designs a motorized (but not robotic) crane to remove ingots from a furnace. 1954 American engineers George Devol and Joe Engleberger design the first programmable robot "arm," the world's first industrial robot. The Stanford Research Institute creates Shakey, the first mobile robot that can reason about its surroundings. Stanford Artificial Intelligence Lab researcher Victor Scheinman creates the Stanford Arm, the first successful electrically powered, computer-controlled robot arm. 1982 The film Blade Runner features androids that are "more human than human." 1984 American AI researcher Douglas Lenat initiates the EnCYClopedia project to create a database of common sense to help robots understand our world.
[55] The History of Robotics: From Ancient Times to Modern Innovations — The early 20th century was a time of experimentation and innovation in robotics, with inventors and engineers exploring new ways to automate tasks and create machines that could perform human-like functions. Teleoperators and Remote-Controlled Robots: Another significant development in the early 20th century was the invention of teleoperators, which allowed humans to remotely control machines. The development of machine learning techniques, neural networks, and expert systems contributed to the creation of robots that could perform more complex tasks and interact with humans in more natural and intuitive ways. The 21st century has ushered in an era of unprecedented advancements in robotics, driven by rapid developments in artificial intelligence (AI), machine learning, and sensor technologies.
[56] The Definitive Timeline of Robotics History | UTI — The evolution of robotics technology. Robotics technology has evolved a lot over the years. Robotic arms were brought to assembly lines in the 1980s, which improved efficiency and safety in manufacturing. The 1990s had advancements in computer vision and machine learning.
[57] The Development of Early Robots in Ancient Civilizations — Consider the ingenuity of ancient civilizations such as Egypt, Greece, China, and Rome, who crafted early robots with surprisingly sophisticated technology for their time. While automation might seem like a modern marvel, these societies employed hydraulics, gears, and complex mechanisms to create water clocks, musical instruments, and
[70] From the Unimate to the Delta Robot: The Early Decades of Industrial ... — A breakthrough milestone in the history of industrial robots is the Stanford Arm (Fig. 3) built in 1969 by Victor Scheinman , a mechanical engineering student working in the Stanford Artificial Intelligence Laboratory (SAIL). It was the first all-electric manipulator, controlled by a microprocessor (PDP-6).
[73] Unimate: The First Industrial Robot - A Story of Innovation - RoboLodge — Unimate: The First Industrial Robot - A Story of Innovation - RoboLodge UNIMATE: The Pioneer of Industrial Robotics In this blog post, we’ll take a closer look at the Unimate, the world’s first industrial robot in the History of Robots. The Unimate was the world’s first industrial robot and revolutionized the manufacturing industry. Joseph Engelberger, the Father of Robotics, was instrumental in the development of the Unimate. It was developed from a mechanical arm design patented in 1954 by American inventor George Devol and was instrumental in the development of the Unimate by Joseph Engelberger, the Father of Robotics. The Unimate’s success paved the way for the development of other industrial robots, which have since become an integral part of the manufacturing industry.
[74] The Evolution of Robotics: Advancements, Impacts, and Ethical ... — However, ethical considerations arise with the widespread adoption of robotics. Transparency, accountability, fairness, privacy, and employment implications are among the key ethical concerns.
[77] PDF — Statement of Ethical Principles2 produced by the Engineering Council and Royal Academy of Engineering. However, the ethical issues become more complex when decisions that are normally undertaken by humans, e.g. for driving a car or piloting an aircraft, are transferred to the RAS. In this case, the ethical concerns that might attach to a human-made
[81] The Impact of Artificial Intelligence in Industrial IoT — Artificial intelligence (AI) is making waves in the world of the Industrial Internet of Things (IIoT), improving all aspects of manufacturing from predictive maintenance solutions to vital operations technologies. AI-enhanced IIoT infrastructure makes your manufacturing processes smarter by connecting machines that analyze data in real-time for faster and better decision-making. In a world craving automation, AI and IIoT are seemingly the perfect “dynamic duo.” By integrating these technologies together with machine monitoring sensors, we can create autonomous environments where machines can operate without any human intervention. AI’s impact on the industrial IoT is as profound as it is pervasive, helping bring in groundbreaking advances and smart manufacturing trends in operational efficiency and productivity. From robotics to machine health monitoring systems and computerized maintenance management systems, the convergence of AI and IIoT is redefining manufacturing.
[94] AI in Healthcare Robotics: Benefits and Challenges — Integration with Existing Healthcare Systems: One of the primary challenges is integrating AI robots with electronic health records (EHR) and other legacy systems. This often requires extensive customization and data harmonization to ensure the robots can access and process the necessary information.
[95] Challenges and Opportunities in the Implementation of AI in ... — All Journals By addressing the growing integration of AI technologies in the manufacturing sector, the research seeks to provide a comprehensive view of how AI applications are transforming production processes, improving efficiency, and opening new business opportunities. However, one of the main challenges faced by the adoption of AI is the lack of technological infrastructure and limited real-time data processing capabilities, highlighting the need for more detailed research on the effective integration of these technologies into existing manufacturing systems. In this context, a bibliometric analysis is justified as the appropriate method to address these questions , as it allows for the examination of the evolution of AI research applied to manufacturing, the identification of key trends, authors, and sources, and the highlighting of emerging topics and areas of opportunity. Journal of Manufacturing and Materials Processing
[97] What is Artificial Intelligence? Understanding AI and Its Impact on Our ... — Robotics powered by AI has made significant strides in industries like manufacturing, healthcare, and logistics. AI-powered robots can perform repetitive tasks with precision, improve productivity, and even assist in delicate surgeries. ... As AI continues to evolve, its impact on society will only deepen. The future of AI is filled with
[98] Five robot trends for 2023 - Control Engineering — Robots continue to grow in manufacturing and non-manufacturing operations. The International Federation of Robotics (IFR) highlights five trends for the robot industry for 2023. 1. Improved energy efficiency. Energy efficiency is key to improve competitiveness amid rising energy costs.
[106] Human-Robot Collaborations in Smart Manufacturing Environments: Review ... — This has resulted in the creation of human–robot collaboration systems in smart manufacturing, where robots and humans operate together harmoniously to achieve better productivity and faster cycle times, while preserving a secure and efficient workplace. The integration of collaborative robots in HRC systems provides an efficient and flexible production process, enabling human operators to make crucial decisions and impact the entire production process. By following these safety standards, the risks associated with HRC systems can be greatly reduced, making it possible for human operators and robots to work collaboratively and safely in industrial settings. The collaboration between human operators and robots has the potential to revolutionize manufacturing industry, enabling more flexible, efficient, and effective production systems.
[107] Cobots Are Revolutionizing Flexible Manufacturing | A3 — Collaborative robots (cobots) are redefining automation by enabling high-precision, adaptable manufacturing across a range of industries, including aerospace, automotive, electronics, pharmaceuticals, and food and beverage processing.
[108] The Future of Manufacturing: How Flexible Automation is Reshaping Industry — Introduction The manufacturing industry is undergoing a dramatic transformation, driven by the shift toward high-mix, low-volume production, the increasing importance of sustainability, and the demand for greater flexibility in automation. Traditional fixed robotic systems struggle to keep up with these changing demands, leading manufacturers to seek future-proof, flexible robot solutions that
[109] Adapting to Uncertainty: Efficient Autonomous Robotic Insertion for ... — The evolution of manufacturing technologies has brought forth a new paradigm: flexible assembly systems (FAS) driven by autonomous robotics. The ability to handle dynamic, unpredictable
[110] Astonishing Robotics in Flexible Manufacturing Systems — The Role of Robotic Systems in Flexible Manufacturing Enhancing Process Automation; Robots excel in automating repetitive tasks like assembly, welding, and material handling. In an FMS, robotic arms can be programmed to switch between tasks instantly, reducing downtime and increasing production efficiency. Improving Precision and Quality
[132] Applications of Robotics in Industry - discoverengineering.org — Applications of Robotics in Industry Robotics Robotics Applications of Robotics in Industry Applications of Robotics in Industry Robotics Robotics has become an integral part of modern engineering, revolutionizing various industries by enhancing efficiency, precision, and safety. The application of robotics in industry is a testament to the technological advancements that have transformed traditional manufacturing and production processes. This article delves into the multifaceted role of robotics in industry, exploring its importance, fundamental principles, historical development, practical applications, advanced topics, challenges, and future prospects. Robots are used for: The application of robotics in industry represents a significant advancement in the field of engineering, offering numerous benefits in terms of efficiency, precision, and safety. Robotics Robotics Robotics Robotics Robotics Robotics Applications of Robotics in Industry
[133] Robotics Applications: How Are Robots Reshaping Industries? — Medical robotics is a rapidly evolving field that holds immense potential for the future of healthcare. As technology continues to advance, we can expect further integration of robotic systems and AI robots into various medical applications, leading to improved patient care, enhanced treatment outcomes, and a more efficient healthcare delivery system.
[138] The Future & Impact of Robotics in Manufacturing | Enterprise Wired — Advancements in robotics technology have made it more accessible to a broader range of manufacturing enterprises. The decreasing costs of robotic systems, coupled with modular and scalable solutions, make robotics integration more feasible for small and medium-sized manufacturers, leveling the playing field in the industry.
[149] Robotics in Healthcare: Revolutionizing Patient Care and Medical Practices — Robotics in Healthcare: Revolutionizing Patient Care and Medical Practices Robotics in Healthcare: Revolutionizing Patient Care and Medical Practices In this article, we explore how robotics is changing healthcare, from surgery and rehabilitation to patient monitoring and diagnostics. Types of Robots Used in Healthcare With robotic-assisted surgery, patients experience shorter hospital stays, reduced pain, and faster recovery times, which collectively enhance overall healthcare quality. The fusion of robotics with AI is creating a smarter, more connected healthcare system capable of addressing challenges and improving patient outcomes. Robots in healthcare include surgical robots, rehabilitation robots, diagnostic robots, assistive robots, and telepresence robots, each tailored to meet specific needs in patient care. AI-enhanced robots are expected to provide more personalized care, faster diagnostics, and even perform remote surgeries, significantly improving healthcare efficiency and accessibility.
[150] Robotics and the future of healthcare: Transforming patient care — As these technologies develop, there is the potential for specialised surgical expertise to reach remote areas, improving patient access to world-class healthcare worldwide. In addition, robots could perform physical assessments and check vital signs during virtual consultations, giving professionals access to more comprehensive patient data
[151] 5 ways that robotics are transforming healthcare - The World Economic Forum — Discover how robots are transforming the medical industry | World Economic Forum Cutting-edge technologies can play a huge role in transforming the healthcare sector, says the World Economic Forum’s Global Health and Healthcare report. "Robots have great potential to address important unmet needs, such as delivering a better healthcare experience for patients through minimally invasive procedures and ensuring consistent, high-quality care with precision tasks,” says Jitka Kolarova, Lead, Health & Healthcare Innovation, World Economic Forum. The National Robotarium partnered with the AIT Austrian Institute of Technology on a pilot study to develop socially assistive robots to support stroke and brain injury survivors through upper limb rehabilitation routines – which currently only 31% of patients complete.
[152] CloudTweaks | The Future of Robotics in Healthcare — CloudTweaks | The Future of Robotics in Healthcare The Future of Robotics in Healthcare: Trends, Challenges, and Opportunities The Future of Robotics in Healthcare The global healthcare robotics market is driven by societal needs, such as an aging population and a rise in chronic diseases, as well as technological advancements in artificial intelligence (AI), sensors, and machine learning. Service Robots: These handle repetitive tasks like delivering supplies, sanitizing rooms, and transporting patients, reducing the burden on healthcare staff. Service Robots By embracing robotics, healthcare systems can enhance the quality of care, improve patient outcomes, and create a more sustainable future for the industry. SPONSORED POSTS BRANDED COMICS THOUGHT LEADERSHIP B2B LEAD GENERATION CONTENT SYNDICATION PODCASTS
[161] Automation and the workforce of the future | McKinsey — The need for some skills, such as technological as well as social and emotional skills, will rise, even as the demand for others, including physical and manual skills, will fall. These changes will require workers everywhere to deepen their existing skill sets or acquire new ones. Over the next ten to 15 years, the adoption of automation and AI technologies will transform the workplace as people increasingly interact with ever-smarter machines. These technologies, and that human-machine interaction, will bring numerous benefits in the form of higher productivity, GDP growth, improved corporate performance, and new prosperity, but they will also change the skills required of human workers. To measure skill shifts from automation and AI, we modeled skill shifts going forward to 2030—and found that they accelerated.
[167] Advancements in Robotic Surgery: A Comprehensive Overview of Current ... — Robotic surgery, also known as robot-assisted surgery, refers to a minimally invasive surgical technique where specialized robotic systems are employed to assist surgeons in performing procedures with unparalleled precision and control. The robotic arms' stability and precision reduce the risk of errors during surgery, leading to improved patient outcomes and reduced postoperative complications . Telesurgery: Telesurgery, also known as remote surgery, leverages robotic systems and high-speed internet connections to enable surgeons to perform procedures on patients in different locations. By reducing geographical barriers and enhancing access to surgical care, robotic surgery can reduce healthcare disparities and ensure that patients worldwide receive the best possible treatment, regardless of location .
[170] Revolutionizing Healthcare: Digital Innovations in Diagnostics and Surgery — Artificial intelligence (AI) has significantly improved diagnostic accuracy by leveraging machine learning algorithms to process vast amounts of medical data. By minimizing diagnostic errors, AI-driven platforms enhance patient outcomes and reduce healthcare costs. Robotic-assisted surgery is revolutionizing healthcare by improving precision and reducing recovery times. Real-time analytics enhance clinical decision-making by processing patient data instantaneously, leading to optimized resource allocation and reduced operational costs. AI-driven analytics improve workflow efficiency by identifying trends in patient health, assisting in early disease detection, and allowing for predictive healthcare strategies. The precision of AR-driven systems, combined with AI analytics, allows for improved surgical planning and execution. Healthcare organizations are investing in cybersecurity frameworks that integrate AI-driven threat detection, ensuring real-time identification of potential security breaches. ###### Enhancing Healthcare Efficiency with AI-Driven CRM Systems
[172] 9 Emerging Trends in Robotics and Automation | Dorna Robotics — 9 Emerging Trends in Robotics and Automation | Dorna Robotics Dorna Robotics - 9 Emerging Trends in Robotics & Automation Dorna Robotics - 9 Emerging Trends in Robotics & Automation 9 Emerging Trends in Robotics and Automation As materials and manufacturing techniques advance, soft robotics too is finding applications in diverse fields, promising a future of more versatile and adaptable automation solutions than before. The trend is fueled by the potential for more immersive and intuitive human-machine interactions, creating a dynamic and promising future for AR within the robotics and automation landscape. With Dorna, smaller manufacturers are also embracing Industry 4.0, thanks to our web-based software solutions, and cost-effective robotic arms democratizing advanced manufacturing and making automation accessible to businesses of all sizes.
[174] Robotics | Stanford Emerging Technology Review — Sustainable Energy Technologies Key Takeaways Overview Over The Horizon People Technology Focus Areas Artificial Intelligence Biotechnology Synthetic Bio Cryptography Blockchain Nano Material Science Neuroscience Nuclear Semiconductors Space Sustainable Energy Technologies KEY TAKEAWAYS • Although robots today are mostly used for the Three Ds (dull, dirty, or dangerous tasks), in the future they could be used for almost any task involving physical presence, because of recent advances in AI, decreasing costs of mobile component technologies (e.g., cameras in smartphones), and designs enabled by new materials and structures. • Robotics has and will transform many industries through elimination, modification, or creation of jobs and functions. Researchers do agree that, at the very least, robots are human-made physical entities with ways of sensing themselves or the world around them and the ability to create physical effects on that world. Importantly, robots must integrate many different component technologies to combine perception of their environment with action. The key engineering challenges in robotics are the design of individual components and the integration of components to perform tasks.
[175] Top 10 Robotics Trends & Innovations in 2025 | StartUs Insights — Explore our in-depth research on the top 10 robotics trends based on our analysis of 8900+ companies. These trends include AMRs, intelligent robotic systems, robots as a service, humanoid robots, and more! Related topics: ASSISTIVE ROBOTSROBOTICS AS A SERVICEINTELLIGENT ROBOTICSROBOTICS CYBERSECURITYHUMANOID ROBOTSAMRINNOVATION MAPAGVSCOBOTSHEAT MAPDRONESRAASAUTONOMOUS MOBILE ROBOTS2025ROBOTICSCOLLABORATIVE ROBOTSROBOTSAUTOMATED GUIDED VEHICLESINTERNET OF ROBOTIC THINGSTREE MAP Emerging robotics trends meet the growing demand for industrial automation, digitalization, and sustainability. This report provides an overview of robotics trends ranging from intelligent robotics and robots as a service to the Internet of Things (IoT).
[176] Fast-learning robots: 10 Breakthrough Technologies 2025 — Fast-learning robots: 10 Breakthrough Technologies 2025 | MIT Technology Review Fast-learning robots: 10 Breakthrough Technologies 2025 AI advances are rapidly speeding up the process of training robots, and helping them do new tasks almost instantly. By merging these data sources properly into a new AI model, it’s possible to train a robot that, though not perfect, has a massive head start over those trained with more manual methods. Seeing so many ways that a single task can be done makes it easier for AI models to improvise, and to surmise what a robot’s next move should be in the real world. From event sponsorships to custom content to visually arresting video storytelling, advertising with MIT Technology Review creates opportunities for your brand to resonate with an unmatched audience of technology and business elite.
[177] From Cobots to AI: The Top Robotics Trends of 2025 - Analytics Insight — From Cobots to AI: The Top Robotics Trends of 2025 From Cobots to AI: The Top Robotics Trends of 2025 This article highlights the top robotics trends expected to dominate in 2025, highlighting how AI in robotics and autonomous systems trends shape industries. Robots equipped with agentic AI are now increasingly capable of performing tasks without human intervention. The integration of AI in robotics is revolutionizing automation. AI-driven robots also enhance decision-making in complex systems, making processes more efficient and reliable. The latest advances, such as agentic AI, polyfunctional robots, and cobots, drive organizations’ efficiency and development. As the application of AI in robotics unfolds year after year, innovative improvements in human-robot interfaces and other new technologies ensure the reality of robotics innovation.
[178] Future of AI in Robotics: Trends and Predictions for 2025 — Future of AI in Robotics: Trends and Predictions for 2025 Future of AI in Robotics: Trends and Predictions for 2025 By 2025, advancements in AI will significantly enhance the capabilities of robots, making them more intelligent, autonomous, and versatile. Key Trends in AI and Robotics 1. What are the key trends in AI and robotics expected by 2025? By 2025, AI-driven robotics will see significant advancements, including the rise of Autonomous Mobile Robots (AMRs) for logistics, Robotics as a Service (RaaS) for scalable solutions, and improved human-robot interaction. Enhanced human-robot interaction will be a major trend by 2025, driven by advances in natural language processing and AI. Despite the exciting advancements, AI in robotics faces challenges such as ethical concerns, technical limitations, and data security. Robotics
[180] 25 trends in robotics for 2025 | Electronics360 — 25 trends shaping the future of robotics are: Advanced AI integration The natural and long foreseen fusion of AI and robotics empowers robots to perform increasingly complex tasks, with decreasing specificity in instruction sets. Rather than following narrowly pre-programmed instructions, robots will be able to make agile and self-evaluated decisions in real-time based on sensory data that
[182] Impact of soft robots on industrial applications - RoboticsBiz — Soft robots are poised to become indispensable tools capable of performing various tasks across different industrial sectors. This article provides an overview of the future industrial applications of soft robots while addressing the challenges and offering insights into their prospects.
[184] Soft Robotics: A New Frontier in Automation - industrywired.com — Explore the world of soft robotics and how it's transforming automation. Learn about the benefits, applications, and future potential of soft robotics in various industries.
[185] The Rise of Soft Robotics: Flexible Machines for the Future — Flexible Machines for the Future (Source: Niki / stock.adobe.com) Meet soft robotics. Rather than use steel and graphite, soft robotics encompasses flexible robots built from materials such as silicone, rubber, and gel, affording them a range and style of motion that is nearly impossible for a traditional machine. Because they move and behave uniquely, these robots enjoy several advantages
[186] Why Do We Need Soft Robotics? - RobotShop Community — Soft robotics involves highly compliant materials; it is a subfield of robotics focused on creating robots that act very similar to living organisms, including the way they move and adapt to surroundings. Now that we have a better glimpse of what robotic applications in soft robotics may be, let's have a look at where we stand and where we are going with this in the upcoming years.
[208] Global Robotics Market Size, Share and Growth Analysis Report — The global market for robotics was valued at $67.9 billion in 2023. The market is expected to grow from $78.4 billion in 2024 to $165.2 billion by the end of 2029, at a compound annual growth rate (CAGR) of 16.1% from 2024 to 2029. ... What are the key factors driving the growth of the market?
[209] Robotics Market Size, Share & Forecast 2023-2033 - Future Market Insights — Robotics Market Trends – Industry Growth & Forecast 2023-2033 Challenges for Market Players in the Robotics Industry: The widespread implementation of robotics and automation across various industries has ignited the robotics technology market growth. Robotics Industry in the United States Soars to New Heights, Dominating Global Market The growing demand for efficiency, productivity, and automation in various industries has fueled the United States robotics market expansion. The country leads the global robotics industry with a strong focus on innovation and adoption. Leading manufacturers are investing in innovation and expanding their market presence to capitalize on the growing demand for robotics solutions in China and beyond. It provides automation and control solutions for industrial robots used in manufacturing and production processes.
[211] What Is Robotics as a Service (RaaS)? - Built In — Robotics as a service is a business model where robotics companies rent their robots to clients and customers for short-term or long-term use. RaaS provides consistent revenue for robotics companies, while lowering the cost to entry — and potential repairs and maintenance costs — for businesses who want to adopt expensive automation tools
[217] The 10 "great challenges" for robots - Cosmos — Three challenges focus on fundamental problems in robotics: developing robot swarms, improving navigation and exploration, and developing artificial intelligence that can "learn how to learn
[221] What Are the Ethical Considerations Surrounding Robotics? — This section delves into some of the key ethical questions surrounding robotics, such as job displacement, privacy, autonomous weapons, the moral status of robots, and bias in AI systems.2 These frameworks aim to address issues such as safety, privacy, and accountability and ensure that robotics are developed and used in ways that align with ethical standards and societal values. In August 2024, the EU passed the AI Act, a comprehensive regulatory framework designed to address the ethical and legal implications of AI and robotics. The AI Act marks a significant advancement in promoting responsible development and use of AI-powered robots, setting a precedent for balancing innovation with ethical considerations.6 These standards aim to guide the development of ethical AI-powered robots and ensure their operation aligns with societal values.
[222] PDF — Volume 8 Issue 2 @ March - April 2020 IJIRMPS | ISSN: 2349-7300 IJIRMPS2003231431 Website: www.ijirmps.org Email: editor@ijirmps.org 1 Ethical Robotics: Developing Guidelines and Standards for Robot Behavior to Prevent Harm Ruchik Kashyapkumar Thaker Industrial Engineer United States of America Abstract This paper examines the critical question of ethical governance for robotics and artificial intelligence (AI) systems, proposing a comprehensive framework that integrates ethics, standards, regulation, responsible research, and public engagement. As we move toward a future where these technologies increasingly influence society, it is crucial to translate ethical principles into actionable governance frameworks that prioritize safety, trust, and the protection of societal values, ultimately ensuring that robotics and AI serve humanity in a responsible and ethical manner.
[223] Medical robotics—Regulatory, ethical, and legal considerations for ... — Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy ... The implications will vary for different levels of autonomy for different usage contexts (e.g., Level 3 for a home-assistive robot and for a surgical robot can have very different technological challenges and regulatory implications). This is
[224] Robotics Engineering: Key Legal and Regulatory Issues — Coordinated efforts ensure that advancements in robotics benefit from a cohesive regulatory framework that supports innovation while safeguarding public interests. By working together, countries can create a robust global framework that fosters the growth of robotics technology and addresses the complex legal and regulatory challenges that arise.
[225] Towards a Socio-Legal Robotics: A Theoretical Framework on Norms and ... — As more of these design-based, algorithmic or machine learning methodologies, here called adaptive technologies, become embedded in robotics, we see a need for a developed understanding of what role social norms play in social robotics, particularly with regards to fairness.
[228] Media effects on the perceptions of robots - Savela - 2021 - Human ... — Results showed that the overall media exposure of robots is linked to a positive general attitude toward robots, but only fact-based media channel exposure had a positive impact on trust in robots. Results suggest that the experience of robots gained through media exposure is a relevant factor affecting people's perceptions of robots.
[229] User Perception of Robot Behavior as a Function of Previous Experience ... — As society witnesses an increasing presence of robots in domains such as healthcare, education, and service industries, understanding user perceptions and acceptance becomes essential. This research investigates the connection between the perception of robot behavior and user experience, emphasizing the role of social characteristics in shaping perceptions. A sample of 240 participants (mean
[230] (Pdf) Artificial Intelligence in Robotics: From Automation to ... — The integration of advanced technologies, including artificial intelligence, computer vision, and sensor fusion, is explored to enhance the autonomy and efficiency of these robotic systems [37
[234] Ethical Considerations in Robotics — Ethical Considerations in Robotics Robotics Ethical Considerations in Robotics Ethical Considerations in Robotics Ethical considerations in robotics involve the application of moral principles to the design, development, and use of robotic systems. 2000s-Present: The proliferation of robots in healthcare, military, and domestic settings has intensified debates about privacy, bias, and the ethical use of autonomous systems. Several challenges and considerations must be addressed to ensure the ethical development and use of robots: Ethical considerations in robotics are a critical aspect of the field of engineering, shaping the development and deployment of robotic systems. By addressing issues such as safety, accountability, privacy, bias, and social impact, engineers and researchers can ensure that robots contribute positively to society. Ethical Considerations in Robotics
[235] Robotics Engineering: Key Ethical Considerations — Addressing these ethical concerns ensures that robotics engineering advances in a way that aligns with societal values and promotes trust and safety in the technology. It is vital for developers, policymakers, and stakeholders to engage in ongoing discussions and create frameworks that guide the ethical development and deployment of robotic
[236] The Role of Ethics in Shaping Robotics Development — By integrating ethical principles into the design and development of robots, developers can build robots that are in line with ethical and social values and can thus increase user acceptance. This can promote trust between humans and robots and favour their use in various areas such as healthcare, elderly care, and education.
[237] Artificial Emotions: Toward a Human-Centric Ethics — One of the most challenging goals in social robotics is implementing emotional skills. Making robots capable of expressing and deciphering emotions is considered crucial for allowing humans to socially interact with them. In addition to presenting technical challenges, the implementation of artificial emotions in artificial systems raises intriguing ethical issues. In this paper, moving from
[238] Emotion Recognition for Human-Robot Interaction: Recent Advances and ... — A fascinating challenge in the field of human-robot interaction is the possibility to endow robots with emotional intelligence in order to make the interaction more intuitive, genuine, and natural. To achieve this, a critical point is the capability of the robot to infer and interpret human emotions.
[239] Empathy in Long-Term Human-Robot Interaction: A Scoping Review of ... — While the field of human-robot interaction (HRI) continues to evolve, an ongoing challenge in social robot research lies in the ability to sustain long-term HRI. The purpose of this review is to investigate the role of empathy in long-term HRI, with a particular focus on emotion understanding. After conducting a systematic search across 7 databases, a total of 674 records published up to
[240] A Systematic Review of Human-Robot Interaction: The Use of Emotions and ... — In human-robot interaction (HRI), it is essential for the robot to recognize human emotions and also to be able to convey emotions. With this accomplished, interactions between humans and robots can become natural and empathetic. Additionally, it is important to emphasize the significance of user-centered design evaluation when developing HRI systems, ensuring that user needs and preferences