Toward efficient trajectory planning: the path-velocity decomposition
International Journal of Robotics Research
The complexity of robot motion planning
The complexity of robot motion planning
Robot Motion Planning
Motion Planning in Dynamic Environments
Motion Planning in Dynamic Environments
An Influence Diagram Model for Multi-Agent Negotiation
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Multi-agent robot systems as distributed autonomous systems
Advanced Engineering Informatics
Robotics and Autonomous Systems
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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.