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Updated: Oct 27, 2025

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Dual-Arm Coordinated Control Strategy Based on Modified Sliding Mode Impedance Controller.

Xuefei Liu1, Xiangrong Xu1, Zuojun Zhu1

  • 1School of Mechanical Engineering, Anhui University of Technology, Ma'anshan 243032, China.

Sensors (Basel, Switzerland)
|July 24, 2021
PubMed
Summary

A new control algorithm for dual-arm robots improves handling accuracy using a modified sliding mode impedance controller. This method enhances trajectory tracking and reduces vibrations for precise object manipulation.

Keywords:
coordinated operationdual-arm robotsimpedance controlsliding mode controltarget object

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Area of Science:

  • Robotics
  • Control Systems Engineering
  • Mechatronics

Background:

  • Dual-arm robots require precise position and force control for object handling tasks.
  • Conventional control methods can suffer from chattering and torque fluctuations.

Purpose of the Study:

  • To propose a novel control algorithm for dual-arm robots to achieve high-accuracy position/force control.
  • To enhance the coordinated control strategy for dual-arm robots in handling tasks.

Main Methods:

  • Established combinative kinematics and unified dynamics models for dual-arm robots and the manipulated object.
  • Developed a coordinated control strategy using a modified sliding mode impedance controller (MSMIC) with a hyperbolic tangent switch function.
  • Proved controller stability and convergence using Lyapunov function theory.

Main Results:

  • The proposed MSMIC(tanh) controller achieved stable internal force output.
  • Demonstrated high-precision trajectory tracking for coordinated object transport.
  • Significantly reduced periodic torque and joint chattering compared to conventional sliding mode control.

Conclusions:

  • The modified sliding mode impedance controller offers a robust solution for dual-arm robot control.
  • The algorithm enables stable and accurate handling of objects by dual-arm robots.
  • This approach minimizes undesirable vibrations, leading to smoother robotic operations.