Behaviour-based architecture for abstract learning and control

Pejman Iravani

Research output: Contribution to conferencePaper

Abstract

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 → …

Conference

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

Fingerprint

Dive into the research topics of 'Behaviour-based architecture for abstract learning and control'. Together they form a unique fingerprint.

Cite this