An Everyday Robotic System that Maintains Local Rules Using Semantic Map Based on Long-Term Episodic Memory

To enable robots to work on real home environments, they have to not only consider common knowledge in the global society, but also be aware of existing rules there. Since such "local rules" are not describable beforehand, robot agents must acquire them through their lives after deployment...

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Vydané v:	2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) s. 1 - 7
Hlavní autori:	Furuta, Yuki, Okada, Kei, Kakiuchi, Yohei, Inaba, Masayuki
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2018
Predmet:	Big Data in Robotics and Automation Learning and Adaptive Systems Planning Probabilistic logic Robot sensing systems Semantics Service Robots Solid modeling Task analysis
ISSN:	2153-0866
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