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-directions of the robot; the distributed architecture has been embedded in the DAISY (Distributed Architecture for Intelligent System). Experiments have been carried out using a LEGO intelligent brick.
Index Terms:
mobile robots; distributed architecture; autonomous navigation of robots; target recognizer; obsta90cle evaluator; planner; adaptive genetic algorithm; DAISY; LEGO intelligent brick
Citation:
V. Di Gesu, B. Lenzitti, G. Lo Bosco, D. Tegolo, "A Distributed Architecture for Autonomous Navigation of Robots," camp, pp.190, Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00), 2000