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» Neurofuzzy Learning of Mobile Robot Behaviours
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73
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EWLR
1997
Springer
15 years 1 months ago
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition
Building robots can be a tough job because the designer has to predict the interactions between the robot and the environment as well as to deal with them. One solution to cope the...
Wei-Po Lee, John Hallam, Henrik Hautop Lund
AAMAS
2005
Springer
15 years 3 months ago
Experiments in Subsymbolic Action Planning with Mobile Robots
The ability to determine a sequence of actions in order to reach a particular goal is of utmost importance to mobile robots. One major problem with symbolic planning approaches re...
John Pisokas, Ulrich Nehmzow
JCIT
2008
154views more  JCIT 2008»
14 years 9 months ago
A Prospective Fuzzy Logic approach to Knowledge-based Navigation of Mobile LEGO-Robot
The development of techniques for knowledge-based navigation constitutes one of the major trends in the current research on mobile robotics. Fuzzy logic provides tools that are of...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
83
Voted
JIRS
2000
133views more  JIRS 2000»
14 years 9 months ago
Managing Complexity in Large Learning Robotic Systems
Abstract. Autonomous learning systems of significant complexity often consist of several interacting modules or agents. These modules collaborate to produce a system which, when vi...
Kynan Eng, Alec P. Robertson, Deane R. Blackman
107
Voted
AGS
2009
Springer
15 years 4 months ago
Two Case Studies for Jazzyk BSM
Recently, we introduced Behavioural State Machines (BSM ), a novel programming framework for development of cognitive agents with Jazzyk, its associated programming language and in...
Michael Köster, Peter Novák, David Mai...