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Bio-Inspired Teleoperation Control: Unified Rapid Tracking, Compliant and Safe Interaction.

Chuang Cheng1, Haoran Xiao1, Wei Dai1

  • 1The College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.

Biomimetics (Basel, Switzerland)
|September 26, 2025
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Summary
This summary is machine-generated.

This study introduces a bio-inspired teleoperation control (BITC) method. BITC enhances robotic safety and responsiveness by integrating human reflexes and nonlinear fluid properties, improving tracking and interaction.

Keywords:
collision reaction controlcompliant-safe interactionrobotic teleoperation

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Area of Science:

  • Robotics
  • Control Systems
  • Human-Computer Interaction

Background:

  • Robotic teleoperation faces a trade-off between tracking speed and safety.
  • High-stiffness controllers offer speed but risk unsafe interactions.
  • Low-stiffness controllers ensure safety but reduce responsiveness.

Purpose of the Study:

  • To develop a novel teleoperation control method addressing the speed-compliance-safety conflict.
  • To integrate bio-inspired mechanisms for enhanced robotic interaction.
  • To improve overall teleoperation performance through unified control.

Main Methods:

  • Proposed a bio-inspired teleoperation control (BITC) method.
  • Integrated human withdrawal reflex mechanisms and shear-thickening fluid properties.
  • Implemented dynamic force-feedback-driven collision reflex and nonlinear compliance control.
  • Utilized full-state feedback tracking for unified control.

Main Results:

  • Achieved accurate tracking performance.
  • Demonstrated compliant behavior during deep contact with force fidelity during initial contact.
  • Enabled rapid collision detection and disengagement.
  • Reduced peak contact forces by approximately 60%.
  • Minimized contact duration to under 120 ms.

Conclusions:

  • The BITC method effectively unifies rapid tracking, compliance, and safety in robotic teleoperation.
  • Bio-inspired design enhances robotic interaction safety and performance.
  • The method offers significant improvements in collision response and force management.