Behaviour-based architecture for abstract learning and control

Pejman Iravani

Research output: Contribution to conferencePaper


This paper presents a modular behaviour-based architecture for the control and learning of behaviours in mobile robots. The main contribution of this paper is the integration of techniques for generating grounded symbols from raw sensory-motor data and traditional behaviour-based architectures. The resulting architecture reduces the intrinsic dimensionality problems of robotics and allows for abstract control. The architecture is experimentally validated on a simulated robot environment.
Original languageEnglish
Publication statusPublished - 2004
EventTowards Autonomous Robotic Systems (TAROS-04) - Colchester, UK United Kingdom
Duration: 1 Sept 2004 → …


ConferenceTowards Autonomous Robotic Systems (TAROS-04)
Country/TerritoryUK United Kingdom
Period1/09/04 → …


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