Local Control Strategies for Groups of Mobile Autonomous Agents

Control of group of mobile autonomous agents via local strategies

This paper considers the formation control problem of multi-agent systems in a distributed fashion. Two cases of the information propagating topologies among multiple agents, characterized by graphics model, are considered. One is fixed topology. The other is switching topology which represents the limited and less reliable information exchange. The local formation control strategies establishe...

Coordination of Groups of Mobile Autonomous Agents

Currently there is considerable interest in understanding on the one hand, how various animal aggregations such as fish schools, bird flocks, deer herds, etc. coordinate their collective motions to perform useful tasks and on the other, how groups of mobile autonomous agents such as AUV schools, UAV flocks, etc., might be instructed to cooperate in a similar manner [1]. In this talk we will wil...

Adapting Control Strategies for Situated Autonomous Agents

This paper studies how to balance evolutionary design and human expertise in order to best design situated autonomous agents which can learn speciic tasks. A genetic algorithm designs control circuits to learn simple behaviors, and given control strategies for simple behaviors, the genetic algorithm designs a combinational circuit that switches between these simple behaviors to perform a naviga...

Satisficing feedback strategies for local navigation of autonomous mobile robots

Simulated Visual Perception-Based Control for Autonomous Mobile Agents

Autonomous robots, such as automatic vacuum cleaners, toy robot dogs, and autonomous vehicles for the military, are rapidly becoming a part of everyday life. As a result the need for effective algorithms to control these agents is becoming increasingly important. Conventional path finding techniques rely on a representation of the world that can be analysed mathematically to find the best path....