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A distributed architecture for autonomous navigation of robots
Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception
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The paper shows a distributed architecture for autonomous robot navigation. The architecture is based on three modules that are implemented on separate and interacting agents: the target recognizer, the obsta90cle evaluator and the planner. An adaptive genetic algorithm has been studied to identify mechanisms for reaching the target and for manipulating the 2-diretions of the robot; the distributed architecture has been embedded in the DAISY (Distributed Architecture for Intelligent System).
doi:10.1109/camp.2000.875977
dblp:conf/camp/GesuLBT00
fatcat:pswidqinpvcs7hbxvbdhgctcpu