Methods for Scalable and Safe Robot Learning
Robots are increasingly expected to go beyond controlled environments in laboratories and factories, to enter real-world public spaces and homes. However, robot behavior is still usually engineered for narrowly defined scenarios. To manually encode robot behavior that works within complex real world...
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Format: | Others |
Language: | English |
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Linköpings universitet, Artificiell intelligens och integrerade datorsystem
2017
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138398 http://nbn-resolving.de/urn:isbn:9789176854907 |