Publication | Open Access
Toward Autonomous Driving by Musculoskeletal Humanoids: A Study of Developed Hardware and Learning-Based Software
13
Citations
14
References
2020
Year
Artificial IntelligenceEngineeringField RoboticsIntelligent RoboticsMotor ControlIntelligent SystemsAutonomous Driving ProjectKinesiologyLegged RobotRobot LearningKinematicsEmbodied RoboticsHumanoid RobotHealth SciencesHuman BodyDanceMotion SynthesisMechatronicsComputer EngineeringComputer ScienceAutonomous DrivingLearning-based SoftwareBipedal LocomotionMusculoskeletal HumanoidsAutomationDeveloped HardwareHuman MovementRobotics
This article summarizes an autonomous driving project by musculoskeletal humanoids. The musculoskeletal humanoid, which mimics the human body in detail, has redundant sensors and a flexible body structure. These characteristics are suitable for motions with complex environmental contact, and the robot is expected to sit down on the car seat, step on the acceleration and brake pedals, and operate the steering wheel with both arms. We reconsider the developed hardware and software of the musculoskeletal humanoid Musashi in the context of autonomous driving. The respective components of autonomous driving are conducted using the benefits of the hardware and software. Finally, we show that Musashi succeeded in the pedal and steering wheel operations with recognition.
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