Hardware Design and Learning-Based Software Architecture of Musculoskeletal Wheeled Robot Musashi-W for Real-World Applications
<|reference_start|>Hardware Design and Learning-Based Software Architecture of Musculoskeletal Wheeled Robot Musashi-W for Real-World Applications: Various musculoskeletal humanoids have been developed so far. While these humanoids have the advantage of their flexible and redundant bodies that mimic the human body, they are still far from being applied to real-world tasks. One of the reasons for this is the difficulty of bipedal walking in a flexible body. Thus, we developed a musculoskeletal wheeled robot, Musashi-W, by combining a wheeled base and musculoskeletal upper limbs for real-world applications. Also, we constructed its software system by combining static and dynamic body schema learning, reflex control, and visual recognition. We show that the hardware and software of Musashi-W can make the most of the advantages of the musculoskeletal upper limbs, through several tasks of cleaning by human teaching, carrying a heavy object considering muscle addition, and setting a table through dynamic cloth manipulation with variable stiffness.<|reference_end|>
@article{kawaharazuka2024hardware,
    title={Hardware Design and Learning-Based Software Architecture of
  Musculoskeletal Wheeled Robot Musashi-W for Real-World Applications},
    author={Kento Kawaharazuka and Akihiro Miki and Masahiro Bando and Temma
  Suzuki and Yoshimoto Ribayashi and Yasunori Toshimitsu and Yuya Nagamatsu and
  Kei Okada and and Masayuki Inaba},
    journal={arXiv preprint arXiv:2403.11729},
    year={2024},
    doi={10.1109/Humanoids53995.2022.10000123},
    archivePrefix={arXiv},
    eprint={2403.11729},
    primaryClass={cs.RO}
}