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Updated: May 10, 2025

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
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Redundancy-Based Motion Planning with Task Constraints for Robot Manipulators.

Yi Zhang1,2, Hongguang Wang1

  • 1State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Chuangxin Road 135, Shenyang 110016, China.

Sensors (Basel, Switzerland)
|April 28, 2025
PubMed
Summary
This summary is machine-generated.

This study presents a new motion planning strategy for 7-DOF manipulators, improving task efficiency in complex environments. The method enhances connections using redundancy, leading to higher success rates in realistic scenarios.

Keywords:
motion planningredundant manipulatortask constraint

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Area of Science:

  • Robotics
  • Motion Planning
  • Control Systems

Background:

  • Realistic motion planning is crucial for redundant manipulators in tasks like home care and industrial assembly.
  • Challenges arise in motion planning for tasks requiring upright posture or navigation through confined spaces.

Purpose of the Study:

  • To develop an effective motion-planning strategy for 7-DOF manipulators that leverages redundancy to improve connectivity.
  • To enhance the efficiency and success rate of motion planning for complex robotic tasks.

Main Methods:

  • Constructed analytic Cartesian-space-to-joint-space kinematic mapping models for 7-DOF redundant manipulators.
  • Determined feasible nodes by sampling Cartesian space without barriers to meet task requirements.
  • Iteratively modified joint configurations to refine nodes and identified collision-free pathways in the joint-space constraint manifold.

Main Results:

  • The proposed planner generates more viable joint-space nodes per Cartesian-space sample compared to one-to-one projection.
  • Achieved high planning efficiency and a high motion-planning success rate in simulations and experiments.
  • Demonstrated effectiveness across varied task constraint levels for a 7-DOF manipulator.

Conclusions:

  • The developed strategy offers an effective solution for motion planning in redundant manipulators, particularly in complex scenarios.
  • The method avoids numerical iterations, contributing to its high efficiency and success rate.
  • This approach enhances the capability of 7-DOF manipulators for intricate applications.