Title :
Modeling and analysis of dynamic multi-agent planar manipulation
Author :
Li, Qingguo ; Payandeh, Shahram
Author_Institution :
Exp. Robotics Lab., Simon Fraser Univ., Burnaby, BC, Canada
Abstract :
A dynamic model for multi-agent manipulation is investigated under a nonlinear control framework. The motion of the rigid body on a plane under two-finger pushing is modeled as a nonlinear system. The local controllability is derived for different cooperation patterns. The motion of the rigid body under pushing is composed of two stages: during the first stage, the fingers maintain contact with the object, and through adjusting the pushing position, orientation and force on the object, the configuration of the object can reach some subsets in configuration space. Due to local contact constraints, the fingers may lose contact with the object where the second stage of motion starts. Here, the motion of the object is governed by the friction force only. Thus manipulation planning consists of two parts. First, an initial state response problem needs to be solved to find the subset of configuration space which can reach the final configuration under the friction-governed sliding. The remaining problem can be categorized as optimal control problem, which solves the cooperation between agents which force the object moving into the subset found by the initial state response problem. The possibility of cooperation is illustrated through an example.
Keywords :
controllability; friction; manipulator dynamics; multi-agent systems; multi-robot systems; nonlinear control systems; optimal control; configuration space; cooperation patterns; dynamic model; dynamic multi-agent planar manipulation; friction force; local contact constraints; local controllability; nonlinear control framework; optimal control problem; orientation; pushing position; rigid body; state response problem; two-finger pushing; Control system analysis; Control theory; Controllability; Fingers; Laboratories; Manipulator dynamics; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Robot kinematics;
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2001. Proceedings 2001 IEEE International Symposium on
Print_ISBN :
0-7803-7203-4
DOI :
10.1109/CIRA.2001.1013197