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Design and Analysis for Fall Detection System Simplification
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Human inspired fall arrest strategy for humanoid robots based on stiffness ellipsoid optimisation.

Da Cui1,2, Christopher Peers2, Guoqiang Wang1

  • 1School of Mechanical and Aerospace Engineering, Jilin University, Changchun, People's Republic of China.

Bioinspiration & Biomimetics
|August 4, 2021
PubMed
Summary

Humanoid robots can prevent falls by using their arms to contact environmental objects, inspired by human fall arrest. This strategy optimizes arm pose to maximize stiffness, reducing impact torque and improving stability.

Keywords:
balance controlbipedal locomotionbody balancefall arresthumanoid robotsstiffness ellipsoid optimisation

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Area of Science:

  • Robotics
  • Biomechanics
  • Control Systems

Background:

  • Bipedal locomotion in humans and humanoid robots presents a significant fall risk.
  • Human fall arrest mechanisms provide inspiration for robotic safety strategies.
  • Existing humanoid robot fall prevention methods often lack dynamic arm-based intervention.

Purpose of the Study:

  • To develop and validate a novel humanoid robot fall prevention strategy using arm contact with environmental objects.
  • To investigate the principle of maximizing end-effector Cartesian stiffness for stable impact absorption.
  • To reduce joint torques during fall impact events in humanoid robots.

Main Methods:

  • Utilizing the capture point method for fall detection.
  • Implementing a configuration optimizer to select arm poses that maximize stiffness ellipsoid values along the impact direction.
  • Simulating the strategy in MATLAB & Simulink with a wall-contact scenario.

Main Results:

  • The proposed strategy effectively prevents falls by using arms to contact environmental objects.
  • Optimizing arm pose to maximize stiffness significantly reduces joint torques during impact.
  • Simulations demonstrated the strategy's effectiveness and feasibility in a controlled environment.

Conclusions:

  • Humanoid robot arm contact with environmental objects is a viable fall prevention method.
  • Maximizing arm end-effector stiffness is a key principle for effective impact absorption.
  • The developed strategy enhances robot stability and reduces mechanical stress during falls.