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

被引:101
作者
Thandiackal, Robin [1 ,2 ]
Melo, Kamilo [1 ,3 ]
Paez, Laura [1 ]
Herault, Johann [4 ]
Kano, Takeshi [5 ]
Akiyama, Kyoichi [5 ]
Boyer, Frederic [4 ]
Ryczko, Dimitri [6 ]
Ishiguro, Akio [5 ]
Ijspeert, Auke J. [1 ]
机构
[1] Ecole Polytech Fed Lausanne EPFL, Lausanne, Switzerland
[2] Harvard Univ, Cambridge, MA 02138 USA
[3] KM RoBoTa Sarl, Renens, Switzerland
[4] IMT Atlantique, LS2N, Nantes, France
[5] Tohoku Univ, Sendai, Miyagi, Japan
[6] Univ Sherbrooke, Sherbrooke, PQ, Canada
基金
加拿大健康研究院; 加拿大自然科学与工程研究理事会; 瑞士国家科学基金会;
关键词
CENTRAL PATTERN GENERATOR; LAMPREY SPINAL-CORD; FICTIVE LOCOMOTION; UNDERWATER ROBOTS; NEURAL-CONTROL; DORSAL CELL; NEURONS; MODEL; BIOROBOTICS; SALAMANDER;
D O I
10.1126/scirobotics.abf6354
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
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.
引用
收藏
页数:16
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