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Intelligent planning and control for multirobot coordination: An event-based approach

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3 Author(s)
Ning Xi ; Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA ; Tzyh-Jong Tarn ; A. K. Bejczy

A new planning and control scheme for multirobot coordination is presented. First, the event-based planning and control theory is introduced. The most important step is the design of an event-based motion reference for the multirobot system. It drives the system to achieve the best possible coordination. Hybrid position/force controllers which are able to perform a large class of tasks are designed based on the combination of general task space with the well-known nonlinear feedback linearization technique. To improve the force control performance, the dynamics of joint motors have been considered in the force control. For a given task, a task projection operator can be found for each robot with the consideration of redundancy management. It projects the feedback linearized model to the actual task space. A distributed computing architecture is proposed to implement this scheme in a parallel computation. The event-based coordination scheme was experimentally implemented and tested for the coordinated control of two 6 DOF PUMA 560 robots with very good results

Published in:

IEEE Transactions on Robotics and Automation  (Volume:12 ,  Issue: 3 )