Dynamic priority allocation for conflict free coordinated manipulation of multiple agents

S. Chiddarwar, N. Babu
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引用次数: 10

Abstract

This article presents a decoupled approach for conflict free coordinated manipulation of multiple industrial robot agents operating in a typical industrial environment. Decoupled method proposed in this work plans the path for the robots in two steps. In the first step, for each participating robot agent a path collision free with respect to stationary obstacle is obtained. The coordination among agents is achieved in the second step of the approach by use of off-line strategy for conflict resolution. The key objective of the conflict resolution is dynamic assignment of priorities for path modification of the robot agents. Thus, the agents involved in a local conflict situation coordinate their movement by adopting the lowest movement cost motion paths. Results obtained from realistic simulation of multi-robot agent environment with three industrial robots demonstrate that the proposed approach assures the rapid, concurrent and conflict free coordinated motion of the robot agents.
多agent无冲突协调操作的动态优先级分配
本文提出了一种解耦方法,用于在典型工业环境中操作的多个工业机器人代理的无冲突协调操作。本文提出的解耦方法分两步规划机器人的路径。在第一步中,对于每个参与的机器人代理,获得一个相对于静止障碍物无碰撞的路径。第二步采用离线策略解决冲突,实现agent间的协调。冲突解决的关键目标是动态分配机器人智能体路径修改的优先级。因此,在局部冲突情况下,参与其中的agent通过采用运动成本最低的运动路径来协调他们的运动。用3台工业机器人对多机器人智能体环境进行仿真,结果表明该方法保证了机器人智能体快速、并行、无冲突的协调运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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