1270 search results - page 234 / 254 » Dogged Learning for Robots |
AAAI
2008
15 years 2 days ago
2008
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
CAIP
2005
Springer
14 years 11 months ago
2005
Springer
Abstract. In autonomous indoor navigation some number of localizations and orientations of the vehicle can be learned in advance. No artificial landmarks are required to exist. We...
NIPS
2007
14 years 11 months ago
2007
The control of high-dimensional, continuous, non-linear dynamical systems is a key problem in reinforcement learning and control. Local, trajectory-based methods, using techniques...
DAGSTUHL
2003
14 years 11 months ago
2003
We embodied networks of cultured biological neurons in simulation and in robotics. This is a new research paradigm to study learning, memory, and information processing in real tim...
FLAIRS
2003
14 years 11 months ago
2003
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...