Emergence of robust self-organized undulatory swimming based on local hydrodynamic force sensing

中心图形发生器 稳健性(进化) 神经科学 计算机科学 模块化设计 机器人 脊髓 机制(生物学) 物理 声学 生物 人工智能 基因 操作系统 节奏 量子力学 生物化学
作者
Robin Thandiackal,Kamilo Melo,Laura Paez,Johann Herault,Takeshi Kano,Kyoichi Akiyama,Frédéric Boyer,Dimitri Ryczko,Akio Ishiguro,Auke Jan Ijspeert
出处
期刊:Science robotics [American Association for the Advancement of Science (AAAS)]
卷期号:6 (57) 被引量:53
标识
DOI:10.1126/scirobotics.abf6354
摘要

Undulatory swimming represents an ideal behavior to investigate locomotion control and the role of the underlying central and peripheral components in the spinal cord. Many vertebrate swimmers have central pattern generators and local pressure-sensitive receptors that provide information about the surrounding fluid. However, it remains difficult to study experimentally how these sensors influence motor commands in these animals. Here, using a specifically designed robot that captures the essential components of the animal neuromechanical system and using simulations, we tested the hypothesis that sensed hydrodynamic pressure forces can entrain body actuation through local feedback loops. We found evidence that this peripheral mechanism leads to self-organized undulatory swimming by providing intersegmental coordination and body oscillations. Swimming can be redundantly induced by central mechanisms, and we show that, therefore, a combination of both central and peripheral mechanisms offers a higher robustness against neural disruptions than any of them alone, which potentially explains how some vertebrates retain locomotor capabilities after spinal cord lesions. These results broaden our understanding of animal locomotion and expand our knowledge for the design of robust and modular robots that physically interact with the environment.
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