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Reactive Self-Collision Avoidance for a Differentially Driven Mobile Manipulator.

Keunwoo Jang1, Sanghyun Kim2, Jaeheung Park1,3

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Summary
This summary is machine-generated.

This study presents a novel reactive self-collision avoidance algorithm for mobile manipulators. It uses a distance buffer border to move the robot base, ensuring manipulator safety without altering its primary motion.

Keywords:
mobile manipulationself-collision avoidancewhole-body motion planning and control

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Area of Science:

  • Robotics
  • Control Systems
  • Artificial Intelligence

Background:

  • Mobile manipulators face challenges with self-collision between the robotic arm and the mobile base.
  • Existing methods often neglect robot constraints or workspace limitations.

Purpose of the Study:

  • To introduce a reactive self-collision avoidance algorithm for differentially driven mobile manipulators.
  • To prevent self-collision between the manipulator and the mobile robot base.

Main Methods:

  • Introduced a distance buffer border (DBB) concept defining a safety region around the mobile robot.
  • Implemented a strategy to move the mobile robot base away from the manipulator when it enters the buffer region.
  • Incorporated non-holonomic constraints and manipulator reachability into the avoidance strategy.
  • Utilized hierarchical quadratic programming to integrate the avoidance task as a high-priority control action.

Main Results:

  • The algorithm successfully prevented self-collision by actuating the mobile robot base.
  • The manipulator's predefined motion in the world Cartesian frame remained unmodified.
  • Consideration of non-holonomic constraints and reachability improved maneuverability and avoidance effectiveness.
  • Experimental validation on a 7-DOF robotic arm demonstrated robust performance in various scenarios.

Conclusions:

  • The proposed reactive self-collision avoidance algorithm is effective for mobile manipulators.
  • The DBB concept and mobile base actuation offer a distinct advantage over existing methods.
  • The approach enhances safety and maneuverability without compromising the manipulator's primary task execution.