HackerPapers

arXiv:2406.05573cs.RO

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

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

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.

arXiv comments
Accepted at IEEE Robotics and Automation Magazine
Journal reference
DOI
doi:10.1109/MRA.2020.2987805
Subjects
cs.RORobotics

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Jun 2024 to Jun 2024. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.