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

Robin Thandiackal, Kamilo Melo, Laura Paez, Johann Herault, Takeshi Kano, Kyoichi Akiyama, Frédéric Boyer, Dimitri Ryczko, Akio Ishiguro, Auke J. Ijspeert

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article numbereabf6354
JournalScience Robotics
Volume6
Issue number57
DOIs
Publication statusPublished - 2021 Aug 11

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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