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Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
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A Pre-Grasping Motion Planning Method Based on Improved Artificial Potential Field for Continuum Robots.

Lihua Wang1,2, Zezhou Sun2, Yaobing Wang2

  • 1School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China.

Sensors (Basel, Switzerland)
|November 25, 2023
PubMed
Summary

Continuum robots can now better capture space debris using an improved artificial potential field. This method enhances pre-grasping motion planning, preventing debris escape and achieving a 97.8% success rate.

Keywords:
active debris removalartificial potential fieldcontinuum robotspre-grasping motion planningwhole-arm grasping

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Area of Science:

  • Robotics
  • Aerospace Engineering
  • Space Debris Management

Background:

  • Maintaining space environment stability requires effective active debris removal (ADR).
  • Continuum robots offer unique capabilities for ADR due to their hyper-redundant degrees of freedom and whole-arm grasping.
  • Existing methods may struggle with target escape during pre-grasping maneuvers.

Purpose of the Study:

  • To propose a novel pre-grasping motion planning method for continuum robots in ADR missions.
  • To enhance the reliability of capturing space debris by preventing target escape.
  • To improve the success rate of ADR operations.

Main Methods:

  • A pre-grasping motion planning strategy utilizing an improved artificial potential field (APF) for continuum robots.
  • Workspace analysis to ensure target accessibility before motion planning.
  • The APF incorporates spatial rotating, attractive (position and posture), and repulsive potential fields.
  • Division of the continuum robot into delivery and grasping segments for optimized motion.

Main Results:

  • The proposed APF method effectively restricts the movement of grasping targets, preventing escape.
  • Inclusion of the posture potential field significantly improves pre-grasping motion planning performance for spatial targets.
  • Simulations demonstrated the method's effectiveness, achieving a success rate of up to 97.8%.

Conclusions:

  • The improved APF-based motion planning method is effective for continuum robot-based ADR.
  • The posture potential field is critical for enhancing the success rate of pre-grasping spatial targets.
  • This approach contributes to more secure and reliable space debris removal operations.