IEEE Robotics & Automation Magazine · 2024 · 16 citations · 38 references
Uncrewed Aerial Vehicle (UAV) research faces challenges with safety, scalability, costs, and ecological impact when conducting hardware testing. High-fidelity simulators offer a vital solution by replicating real-world conditions to enable the development and evaluation of novel perception and control algorithms. However, the large number of available simulators poses a significant challenge for researchers to determine which simulator best suits their specific use-case, based on each simulator’s limitations and customization readiness. In this paper we present an overview of 43 UAV simulators, including in-depth, systematic comparisons for 17 of the simulators. Additionally, we present a set of decision factors for selection of simulators, aiming to enhance the efficiency and safety of research endeavors.
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MuJoCo: A physics engine for model-based control
Emanuel Todorov, Tom Erez, Yuval Tassa · 2012 · 4.3K citations
V-REP: A versatile and scalable robot simulation framework
Eric Rohmer, Surya P. N. Singh, Marc Freese · 2013 · 1.4K citations
Past, Present, and Future of Aerial Robotic Manipulators
Anı́bal Ollero, Marco Tognon, Alejandro Suárez et al. · IEEE Transactions on Robotics · 2021 · 424 citations · Full text
Aerial Robotic Manipulators, Engineering, Aerial Robotics +13