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JIRS
2000
133views more  JIRS 2000»
13 years 6 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
CATA
2003
13 years 7 months ago
A Restaurant Finder using Belief-Desire-Intention Agent Model and Java Technology
It is becoming more important to design systems capable of performing high-level management and control tasks in interactive dynamic environments. At the same time, it is difficul...
Dongqing Lin, Thomas P. Wiggen, Chang-Hyun Jo
TSMC
1998
139views more  TSMC 1998»
13 years 6 months ago
A neuro-fuzzy controller for mobile robot navigation and multirobot convoying
—A Neural integrated Fuzzy conTroller (NiF-T) which integrates the fuzzy logic representation of human knowledge with the learning capability of neural networks is developed for ...
Kim C. Ng, Mohan M. Trivedi
JIRS
2007
108views more  JIRS 2007»
13 years 6 months ago
Task-based Hardware Reconfiguration in Mobile Robots Using FPGAs
This paper presents a methodology for the realization of intelligent, task-based reconfiguration of the computational hardware for mobile robot applications. Task requirements are ...
Sesh Commuri, V. Tadigotla, L. Sliger
EWLR
1997
Springer
13 years 10 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