4.6 Article

Cooperative Impedance Control for Multiple Underwater Vehicle Manipulator Systems Under Lean Communication

Journal

IEEE JOURNAL OF OCEANIC ENGINEERING
Volume 46, Issue 2, Pages 447-465

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JOE.2020.2989603

Keywords

Robot kinematics; Task analysis; Trajectory; Bandwidth; Robot sensing systems; Collision avoidance; Cooperative manipulation; implicit communication; marine robotics; underwater cooperative manipulation; underwater vehicle manipulator system (UVMS)

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The article presents a cooperative object transportation method for multiple underwater vehicle manipulator systems, where implicit communication is achieved through physical interaction between robots. A distributed leader-follower architecture is proposed, where the leading UVMS and following UVMS use different control methods for tracking the object's trajectory, relying on force/torque measurements for feedback, reducing communication bandwidth and increasing system robustness.
This article addresses the problem of cooperative object transportation for multiple underwater vehicle manipulator systems (UVMSs) in a constrained workspace with static obstacles, where the coordination relies solely on implicit communication arising from the physical interaction of the robots with the commonly grasped object. In this article, we propose a novel distributed leader-follower architecture, where the leading UVMS, which has knowledge of the object's desired trajectory, tries to achieve the desired tracking behavior via an impedance control law, navigating in this way, the overall formation toward the goal configuration while avoiding collisions with the obstacles. On the other hand, the following UVMSs estimate locally the object's desired trajectory via a novel prescribed performance estimation law and implement a similar impedance control law that achieves tracking of the desired trajectory despite the uncertainty and external disturbance in the object and the UVMS dynamics, respectively. The feedback relies on each UVMS's force/torque measurements and no explicit data is exchanged online among the robots, thus reducing the required communication bandwidth and increasing robustness. Moreover, the control scheme adopts load sharing among the UVMSs according to their specific payload capabilities. Finally, various simulation studies clarify the proposed method and verify its efficiency.

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