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

Authors :
Kawaharazuka, Kento
Tsuzuki, Kei
Koga, Yuya
Omura, Yusuke
Makabe, Tasuku
Shinjo, Koki
Onitsuka, Moritaka
Nagamatsu, Yuya
Asano, Yuki
Okada, Kei
Kawasaki, Koji
Inaba, Masayuki
Publication Year :
2024

Abstract

This paper 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 by 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, Musashi succeeded in the pedal and steering wheel operations with recognition.<br />Comment: Accepted at IEEE Robotics and Automation Magazine

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2406.05573
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/MRA.2020.2987805