425 search results - page 27 / 85 » Using Stochastic Grammars to Learn Robotic Tasks |
ICRA
2010
IEEE
14 years 10 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
111
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SBRN
2008
IEEE
15 years 6 months ago
2008
IEEE
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
85
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ICRA
2006
IEEE
15 years 5 months ago
2006
IEEE
— Mobile robot localization and navigation requires a map - the robot’s internal representation of the environment. A common problem is that path planning becomes very ineffic...
109
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DATE
2008
IEEE
15 years 6 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
108
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ICRA
2006
IEEE
15 years 5 months ago
2006
IEEE
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...