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Summary
This summary is machine-generated.

This study introduces a versatile simultaneous controller for mobile manipulator robots, improving motion planning efficiency and safety across different robot models. The controller ensures obstacle avoidance for both the mobile base and manipulator arm.

Keywords:
ROSmobile manipulatormotion planningpath analysissimultaneous control

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Control Systems

Background:

  • Increasing demand for service robots necessitates advanced control for mobile manipulators in dynamic environments.
  • Existing controllers lack versatility, often being model-specific and incompatible with robots assembled from components of different manufacturers.
  • This limitation hinders the widespread adoption and efficient operation of heterogeneous mobile manipulator systems.

Purpose of the Study:

  • To propose a universal simultaneous controller applicable to various mobile manipulator robot models.
  • To enhance motion planning capabilities, ensuring obstacle avoidance and stable target arrival.
  • To develop a controller that guarantees safety for both the mobile base and manipulator arm during operation.

Main Methods:

  • Development of a novel simultaneous controller with three key characteristics: universal pose establishment, mobile base collision avoidance, and manipulator safety zone definition.
  • Ensuring full compatibility with the Robot Operating System (ROS).
  • Validation through extensive experiments in simulation and real-world environments using multiple robot types.

Main Results:

  • Successful implementation and testing on three distinct mobile manipulator robot types.
  • Significant time improvements in motion planning compared to existing control methods.
  • Demonstrated successful operation in real-world scenarios, validating the controller's robustness and effectiveness.

Conclusions:

  • The proposed controller offers a versatile and efficient solution for controlling diverse mobile manipulator robots.
  • It effectively addresses the challenges of obstacle avoidance and safe manipulation in dynamic environments.
  • The controller's availability on GitHub promotes further research and development in the field.