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Fish can save energy via proprioceptive sensing.

Liang Li1,2,3, Danshi Liu4, Jian Deng4

  • 1Department of Collective Behaviour, Max Planck Institute of Animal Behavior, Radolfzell am Bodensee 78315, Germany.

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Fish can save energy by sensing flow cues with their tails, even without their lateral line system. This discovery reveals a new mechanism for efficient swimming in schooling fish and robotic systems.

Keywords:
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Area of Science:

  • Biophysics
  • Robotics
  • Animal Locomotion

Background:

  • Fish employ diverse strategies for efficient locomotion in fluid environments.
  • The lateral line system is traditionally considered crucial for sensing local flow and optimizing swimming.
  • Recent findings suggest fish can benefit from flow cues even with impaired lateral lines.

Purpose of the Study:

  • To investigate if fish can save energy by utilizing proprioceptive sensing of vortices shed by neighbors.
  • To test the hypothesis that simple caudal fin proprioception is sufficient for energy-efficient swimming.
  • To explore a new sensory-motor mechanism for schooling fish and inform robotic fish control.

Main Methods:

  • Developed a central pattern generator (CPG) controller with feedback, proprioceptive sensing, and reinforcement learning.
  • Simulated the CPG controller on a computational fish model.
  • Experimented with a robotic fish in dynamic, unknown flow conditions.

Main Results:

  • Proprioceptive sensing of low-dimensional flow signals (e.g., perceived forces) was sufficient for optimizing body undulation.
  • Energy savings were achieved without relying on input from the lateral line system.
  • The CPG controller successfully adapted body undulation based on proprioceptive feedback.

Conclusions:

  • Simple proprioceptive sensing via the caudal fin enables energy-efficient swimming by extracting flow energy.
  • A novel sensory-motor mechanism for schooling fish is proposed, independent of the lateral line system.
  • This research provides insights for developing efficient control strategies for robotic fish in complex flows.