Movement SkillAcquisition using Imitationand Reinforcement Learning
This thesis focuses on having a robot learn to play the game of darts. Playing darts involves multiple tasks. For e.g. how to throw a dart and where to target on the board. It has been shown that with a few demonstrations by the user, the robot can learn how to produce trajectories for hitting a giv...
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Format: | Others |
Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2013
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138107 |
Summary: | This thesis focuses on having a robot learn to play the game of darts. Playing darts involves multiple tasks. For e.g. how to throw a dart and where to target on the board. It has been shown that with a few demonstrations by the user, the robot can learn how to produce trajectories for hitting a given point on the board; with improvement in accuracy along with the experience. On the other hand we showed how a robot can discover regions for hitting on the board so that it can maximize its expected score. |
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