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» Representing the Knowledge of a Robot
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IROS
2008
IEEE
98views Robotics» more  IROS 2008»
16 years 15 days ago
A scalable and distributed approach for self-assembly and self-healing of a differentiated shape
— As the ability to produce a large number of small, simple robotic agents improves, it becomes essential to control the behavior of these robots in such a way that the sum of th...
Michael Rubenstein, Wei-Min Shen
ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
15 years 10 months ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...
IDEAL
2005
Springer
15 years 11 months ago
Generating Predicate Rules from Neural Networks
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
Richi Nayak
JLP
2000
104views more  JLP 2000»
15 years 5 months ago
Dynamic updates of non-monotonic knowledge bases
In this paper we investigate updates of knowledge bases represented by logic programs. In order to represent negative information, we use generalized logic programs which allow de...
José Júlio Alferes, João Alex...
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
15 years 7 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...