3206 search results - page 56 / 642 » Robot Learning From Demonstration |
NIPS
1992
13 years 12 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
IROS
2006
IEEE
14 years 4 months ago
2006
IEEE
— To realize adaptive and robust manipulation, a robot should have several sensing modalities and coordinate their outputs to achieve the given task based on underlying constrain...
ICRA
2006
IEEE
14 years 4 months ago
2006
IEEE
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
ICML
1999
IEEE
14 years 11 months ago
1999
IEEE
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
ICANNGA
2007
Springer
14 years 17 days ago
2007
Springer
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...