Musculoskeletal lower‑limb robot driven by multifilament muscles

• 車谷, 駿一

• Kurumaya, Shunichi

• 鈴森, 康一

• Suzumori, Koichi

• 難波江, 裕之

• Nabae, Hiroyuki

• 脇元, 修一

• Wakimoto, Shuichi

抄録

This paper presents a redundant musculoskeletal robot using thin McKibben muscles that is based on human anatomy. The purpose of this robot is to achieve motions and characteristics that are very similar to a human body. We use a thin McKibben muscle, which is compliant and flexible, as the actuator of a musculoskeletal robot. Using a bundle of thin McKibben muscles, we develop a multifilament muscle that has characteristics similar to those of human muscles. In contrast, the actuators of conventional musculoskeletal robots are very heavy, not densely attached and have poor backdrivability. Because multifilament muscles are light and can be densely attached, we can attach them to the musculoskeletal robot as skeletal muscle and achieve a redundant system that is equivalent to a human drive mechanism. In this paper, we report a method for fabricating multifilament muscles that imitate various muscles, the development of a lower-limb muscle mechanism for the redundant musculoskeletal robot with thin McKibben muscles and experimental results showing that the proposed musculoskeletal robot achieves humanlike motions that have not yet been reported for other robots.

identifier:oai:t2r2.star.titech.ac.jp:50353733

収録刊行物

• Robomech Journal

  Robomech Journal 3 (18), 1-, 2016-09

  Springer Open

キーワード

• Artificial Intelligence
• Control and Optimization
• Mechanical Engineering
• Instrumentation
• Modeling and Simulation

詳細情報

• CRID: 1050845763235392640
• NII論文ID: 120006582540
• DOI: 10.1186/s40648-016-0061-3
• ISSN: 21974225
• Web Site: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100733982
• Web Site: http://link.springer.com/content/pdf/10.1186/s40648-016-0061-3.pdf
• Web Site: http://link.springer.com/article/10.1186/s40648-016-0061-3/fulltext.html
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
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