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» Explanation-Based Neural Network Learning for Robot Control
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154
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EWLR
1999
Springer
15 years 6 months ago
Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically-Rearranging Neural Network Approach
In the field of evolutionary robotics artificial neural networks are often used to construct controllers for autonomous agents, because they have useful properties such as the ab...
Peter Eggenberger, Akio Ishiguro, Seiji Tokura, To...
146
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Cooperative Transportation by Multiple Mobile Manipulators using Adaptive NN Control
— It is a challenging task for multiple robots working together to realize object transportation. This paper studies a practical situation that a group of mobile manipulators are...
Xin Chen, Yangmin Li
125
Voted
NN
1998
Springer
117views Neural Networks» more  NN 1998»
15 years 1 months ago
Neural learning of embodied interaction dynamics
This paper presents our approach towards realizing a robot which can bootstrap itself towards higher complexity through embodied interaction dynamics with the environment includin...
Yasuo Kuniyoshi, Luc Berthouze
111
Voted
ECAL
2007
Springer
15 years 5 months ago
Evolution of Neural Networks for Active Control of Tethered Airfoils
Recent development in tethered airfoil i.e. kite technology allows the possibility of exploitation of wind energy at higher altitudes than achievable with traditional wind turbines...
Allister Furey, Inman Harvey
IAT
2010
IEEE
14 years 12 months ago
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
Ah-Hwee Tan, Gee Wah Ng