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A sensory-driven controller for quadruped locomotion.

César Ferreira1, Cristina P Santos2

  • 1Algoritmi Center, University of Minho, Azurém Campus, Guimarães, Portugal. cesarferreira1990@gmail.com.

Biological Cybernetics
|January 8, 2017
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Summary
This summary is machine-generated.

This study introduces a sensory-driven reflex controller for quadruped robots, inspired by biological spinal reflexes. The controller enables stable, efficient locomotion across varied terrains, demonstrating robustness against sensor noise and delays.

Keywords:
Quadruped locomotionReflex controllerReflexesSensory information

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Area of Science:

  • Robotics
  • Bio-inspired engineering
  • Control systems

Background:

  • Quadruped robot locomotion currently lacks the harmony, flexibility, efficiency, and robustness of biological systems.
  • Biological research highlights the critical role of spinal reflexes in successful locomotion across diverse terrains.
  • Bio-inspired controllers offer a promising pathway to achieve efficient and robust robotic locomotion by mimicking biological models.

Purpose of the Study:

  • To develop and evaluate a sensory-driven reflex controller for the Oncilla quadruped robot.
  • To enable locomotion generation solely through environmental interactions and sensory feedback.
  • To enhance the stability, efficiency, and robustness of quadruped robot locomotion.

Main Methods:

  • A sensory-driven reflex controller was designed for a simulated Oncilla quadruped robot.
  • Locomotion was generated based on the robot's interactions with the environment, relying exclusively on sensory information.
  • System robustness was tested by introducing noise to sensors and actuators, as well as communication delays.

Main Results:

  • The reflex controller successfully generated stable quadruped locomotion with a regular stepping pattern.
  • The controller demonstrated capability in handling slopes without parameter adjustments and overcoming small obstacles.
  • The system exhibited robustness when subjected to sensor noise, actuator noise, and delays.

Conclusions:

  • Sensory-driven reflex controllers are effective for achieving stable and robust quadruped locomotion.
  • Bio-inspired control strategies can bridge the gap between robotic and biological locomotion capabilities.
  • The proposed controller represents a significant step towards more adaptable and resilient quadruped robots.