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Summary
This summary is machine-generated.

This study introduces a robotic eye using artificial muscles for better understanding eye movement disorders. An observer estimates muscle temperature, enabling effective closed-loop control for precise eye movement simulation.

Keywords:
Biomimeticsmachine learning for robot controlmotion control

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Area of Science:

  • Robotics and Control Systems
  • Biomedical Engineering
  • Ophthalmology

Background:

  • Ineffective corrective surgeries for ocular motor disorders highlight the need for advanced tools to study human eye movement biomechanics.
  • Existing robotic eye platforms lack the necessary fidelity or control mechanisms to accurately replicate complex eye movements.
  • Super-coiled polymer (SCP) artificial muscles offer a promising actuation method for robotic eye systems due to their biomimetic properties.

Purpose of the Study:

  • To present the first hardware design and implementation of a 2-DOF robotic eye system actuated by SCP artificial muscles.
  • To develop and validate a reduced-order state observer for estimating SCP temperature, overcoming practical measurement limitations.
  • To implement and test a closed-loop output feedback control strategy combining the observer with a deep deterministic policy gradient (DDPG) controller for accurate eye movement replication.

Main Methods:

  • Designed and constructed a novel 2-DOF robotic eye platform utilizing SCP artificial muscles for actuation.
  • Developed a reduced-order state observer to estimate the internal temperature states of the SCPs based on kinematic measurements.
  • Integrated the observer with a pre-existing DDPG learning-based controller to enable closed-loop output feedback control of the robotic eye.

Main Results:

  • Successfully implemented a closed-loop control system for the SCP-driven robotic eye prototype.
  • The observer-based output feedback control demonstrated effective performance in controlling the robotic eye.
  • The system accurately replicated three fundamental types of human eye movements: visual fixation, saccadic pursuit, and smooth pursuit.

Conclusions:

  • The developed robotic eye platform, driven by SCP artificial muscles and controlled via an observer-based strategy, is a viable tool for studying ocular motor disorders.
  • The proposed reduced-order state observer effectively addresses the challenge of impractical temperature sensing in SCP actuators.
  • This research validates a novel approach to closed-loop control for biomimetic robotic systems, paving the way for more sophisticated eye movement research and potential clinical applications.