1270 search results - page 103 / 254 » Dogged Learning for Robots |
FLAIRS
2000
13 years 11 months ago
2000
A robotic agent must coordinate its coupled concurrent behaviors to produce a coherent response to stimuli. Reinforcement learning has been used extensively in coordinating sensin...
AAAI
1992
13 years 11 months ago
1992
The goal in automatic programming is to get a computer to perform a task by telling it what needs to be done, rather than by explicitly programming it. This paper considers the ta...
ICRA
2009
IEEE
14 years 4 months ago
2009
IEEE
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
IROS
2009
IEEE
14 years 4 months ago
2009
IEEE
— The paper presents a novel strategy that learns to associate a grasp to an unknown object/task. A hybrid approach combining empirical and analytical methods is proposed. The em...
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...