1270 search results - page 123 / 254 » Dogged Learning for Robots |
IJCNN
2006
IEEE
14 years 4 months ago
2006
IEEE
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
ICRA
2000
IEEE
14 years 2 months ago
2000
IEEE
In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
SCAI
2001
13 years 11 months ago
2001
We apply evolutionary algorithm (EA) to the design of controller for adaptive robots. EAs can be successful for more complicated tasks, where traditional engineering methods strugg...
NIPS
2003
13 years 11 months ago
2003
We present a novel connectionist model for acquiring the semantics of a simple language through the behavioral experiences of a real robot. We focus on the “compositionality” ...
SAB
2010
Springer
13 years 8 months ago
2010
Springer
Designing controllers for modular robots is difficult due to the distributed and dynamic nature of the robots. In this paper fractal gene regulatory networks are evolved to control...