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Intelligent autonomous navigation for mobile robots : Spatial concept acquisition and object discrimination

Antonelo, Eric Aislan (author)
Högskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)
Figueiredo, Maurício Fernandes (author)
Department of Computer Science, State University of Maringá, 87020-900, Maringá - PR, Brazil
Baerveldt, Albert Jan (author)
Högskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)
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Calvo, Rodrigo A. (author)
Department of Computer Science and Statistics, University of São Paulo, São Carlos, Brazil
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 (creator_code:org_t)
New York : IEEE Press, 2005
2005
English.
In: 2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation, Proceedings. - New York : IEEE Press. - 0780393554 ; , s. 553-557
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • An autonomous system able to construct its own navigation strategy for mobile robots is proposed. The navigation strategy is molded from navigation experiences (succeeding as the robot navigates) according to a classical reinforcement learning procedure. The autonomous system is based on modular hierarchical neural networks. Initially the navigation performance is poor (many collisions occur). Computer simulations show that after a period of learning the autonomous system generates efficient obstacle avoidance and target seeking behaviors. Experiments also offer support for concluding that the autonomous system develops a variety of object discrimination capability and of spatial concepts.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)

Keyword

intelligent autonomous navigation
neural networks
reinforcement learning
mobile robots
biologically inspired models

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