We describe a hierarchy of models for legged locomotion, emphasizing relationships among feedforward (preflexive) stability, maneuverability, and reflexive feedback. We focus on a hexapedal geometry representative of insect locomotion in the ground plane that includes a neural central pattern generator circuit, nonlinear muscles, and a representative proprioceptive sensory pathway. Although these components of the model are rather complex, neglect of leg mass yields a neuromechanical system with only three degrees of freedom, and numerical simulations coupled with a Poincaré map analysis shows that the feedforward dynamics is strongly stable, apart from one relatively slow mode and a neutral mode in body yaw angle. These modes moderate high frequency perturbations, producing slow heading changes that can be corrected by a stride-to-stride steering strategy. We show that the model’s response to a lateral impulsive perturbation closely matches that of a cockroach subject to a similar impulse. We also describe preliminary studies of proprioceptive leg force feedback, showing how a reflexive pathway can reinforce the preflexive stability inherent in the system.
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June 2009
Research Article|
June 29 2009
Neuromechanical models for insect locomotion: Stability, maneuverability, and proprioceptive feedback
R. Kukillaya;
R. Kukillaya
1Department of Mechanical and Aerospace Engineering,
Princeton University
, Princeton, New Jersey 08544, USA
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J. Proctor;
J. Proctor
1Department of Mechanical and Aerospace Engineering,
Princeton University
, Princeton, New Jersey 08544, USA
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P. Holmes
P. Holmes
1Department of Mechanical and Aerospace Engineering,
Princeton University
, Princeton, New Jersey 08544, USA
2Program in Applied and Computational Mathematics,
Princeton University
, Princeton, New Jersey 08544, USA
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Chaos 19, 026107 (2009)
Article history
Received:
February 23 2009
Accepted:
April 26 2009
Citation
R. Kukillaya, J. Proctor, P. Holmes; Neuromechanical models for insect locomotion: Stability, maneuverability, and proprioceptive feedback. Chaos 1 June 2009; 19 (2): 026107. https://doi.org/10.1063/1.3141306
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