Robot Motion Planning
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Multiagent traffic management: an improved intersection control mechanism
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Sharing the road: autonomous vehicles meet human drivers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Collective methods on flock traffic navigation based on negotiation
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
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Pathfinding is a critical element of AI in many modern applications like multiple mobile robots, game industry and flock traffic navigation based on negotiation (FTN). Classical algorithms assume a unique mobile agent with a complete and accurate model of its environment. New applications demand algorithms that consider multiple agents moving in partially known and changing environments. This paper introduces a new algorithm capable of planning paths for multiple agents and takes the FTN scenario as the basis of an example.