878 search results - page 5 / 176 » Learning to Control in Operational Space |
ICRA
2002
IEEE
15 years 4 months ago
2002
IEEE
The Operational Space Formulation creates a framework for the analysis and control of manipulator systems with respect to the behavior of their end-effectors. Its application to ...
IROS
2007
IEEE
15 years 5 months ago
2007
IEEE
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
ICIP
2003
IEEE
16 years 1 months ago
2003
IEEE
This paper presents a video acquisition system that can learn automatic video capture from human's camera operations. Unlike a predefined camera control system, this system c...
AUSAI
1999
Springer
15 years 3 months ago
1999
Springer
Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
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ESAW
2007
Springer
15 years 5 months ago
2007
Springer
OCAMS is a practical engineering application of multi-agent systems technology, involving redesign of the tools and practices in a complex, distributed system. OCAMS is designed to...