A distributed architecture for autonomous navigation of robots

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)


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 obstacle 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
Original languageEnglish
Title of host publicationProceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception
Number of pages5
Publication statusPublished - 2000

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture


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