Perception Learning For Deep Visuomotor Control Of A Robotic Arm
This thesis studies the problem of estimating the necessary information about the environment in order to make a robotic arm being able to learn autonomously simple control tasks. The state is estimated from a stream of images using a deep neural network. The network is divided into two models that...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276679 |