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Shiqian Wang1, Wietse van Dijk, Herman van der Kooij

  • 1Biomechanical Engineering Dept., Delft University of Technology (TU Delft), Delft, The Netherlands. shiqian.wang@tudelft.nl

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Summary
This summary is machine-generated.

Exoskeletons need lightweight, powerful actuators. Inspired by human muscles acting as springs, this study optimizes exoskeleton design using parallel and series springs, significantly reducing power and torque demands for efficient locomotion.

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Area of Science:

  • Robotics
  • Biomechanics
  • Mechanical Engineering

Background:

  • Exoskeleton actuators face challenges in balancing lightweight design with the high power and torque required for human locomotion.
  • Electric motors, common in exoskeletons, often require heavy reducers and struggle to meet power demands.
  • Human muscle-tendon systems exhibit spring-like behavior, efficiently storing and releasing energy during locomotion.

Purpose of the Study:

  • To investigate a novel actuation strategy for exoskeleton design inspired by the human muscle-tendon system.
  • To analyze gait data to identify and quantify the spring properties of human muscles.
  • To theoretically optimize exoskeleton actuator design by incorporating spring elements.

Main Methods:

  • Collected gait data to analyze human muscle-tendon system spring properties.
  • Performed theoretical optimization to evaluate the impact of adding parallel and series springs to exoskeleton actuators.
  • Calculated reductions in peak torque and root-mean-square (rms) power for various joints.

Main Results:

  • Adding parallel springs can reduce peak torque by up to 66% and rms power by up to 61% in hip and ankle joints.
  • Incorporating a series spring (Series Elastic Actuator - SEA) reduced peak power by 79% for ankle dorsi/plantar flexion and 60% for hip abduction/adduction.
  • SEAs did not reduce peak power demand in all tested joints.

Conclusions:

  • Biomimetic spring-based actuation strategies can significantly enhance the efficiency of exoskeleton designs.
  • Optimized spring properties in actuators can reduce power and torque requirements, leading to lighter and more effective wearable robots.
  • The proposed optimization approach is applicable to the design of various wearable robotic systems.