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Motion Planning for Two Robots of an Object Handling System Considering Fast Transition Between Stable States

Zhaojia Liu, Hiromasa Kamogawa, Jun Ota

Year
2012
Citations
5

Abstract

Abstract Fast transition from a stable initial state to a stable handling state is important when multiple mobile robots grasp and transport a bulky and heavy object. In this paper, we present motion planning for two robots of an irregularly shaped object handling system considering fast transition between stable states. A cooperative object handling system consisting of a gripper robot equipped with a gripper and a lifter robot equipped with a lifter was first designed. Then, a strategy to realize fast transition between stable states by using the object handling system designed was proposed. While grasping and lifting an object off the ground, a gripper robot grasps and lifts up the object from one side to provide enough space for a lifter robot to lift the object off the ground cooperatively. Fast transition between stable states is formulated as a constraint optimization problem. The goal is to realize transition from a stable initial state to a stable handling state in a minimal amount of time. Experiments involving two robots and everyday objects were conducted. The two robots cooperatively obtained fast transition between stable states. The results illustrate the validity of the proposed method.

Keywords

RobotGRASPObject (grammar)Lift (data mining)State (computer science)Constraint (computer-aided design)Mobile robotEngineeringComputer scienceArtificial intelligence

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