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Toward Autonomous Driving by Musculoskeletal Humanoids: A Study of Developed Hardware and Learning-Based Software

Kento Kawaharazuka, Kei Tsuzuki, Yuya Koga, Yusuke Omura, Tasuku Makabe, Koki Shinjo, Moritaka Onitsuka, Yuya Nagamatsu, Yuki Asano, Kei Okada, Koji Kawasaki, Masayuki Inaba

2020IEEE Robotics & Automation Magazine14 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computer scienceSoftwareHuman–computer interactionRobotEmbedded systemArtificial intelligenceEngineeringOperating systemRobot Manipulation and LearningRobotic Locomotion and ControlRobotic Path Planning Algorithms
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