Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning

The pursuit of higher levels of autonomy and versatility in robotics is arguably led by two main factors. First, as we push robots out of the labs and production lines, it becomes increasingly challenging to design for all possible scenarios that a particular robot might encounter. Second, the cost...

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Vydané v:	IEEE transactions on cognitive and developmental systems Ročník 13; číslo 2; s. 234 - 238
Hlavní autori:	Navarro-Guerrero, Nicolas, Nguyen, Sao Mai, Oztop, Erhan, Zhong, Junpei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers, Inc
Predmet:	Artificial Intelligence Automation Computer Science Human-Computer Interaction Machine Learning Manufacturing engineering Production lines Reinforcement learning Robot sensing systems Robotics Robots Special issues and sections Statistics Unsupervised learning
ISSN:	2379-8920, 2379-8939
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Abstract	The pursuit of higher levels of autonomy and versatility in robotics is arguably led by two main factors. First, as we push robots out of the labs and production lines, it becomes increasingly challenging to design for all possible scenarios that a particular robot might encounter. Second, the cost of designing, manufacturing, and maintaining such systems becomes prohibitive.
AbstractList	The pursuit of higher levels of autonomy and versatility in robotics is arguably led by two main factors. First, as we push robots out of the labs and production lines, it becomes increasingly challenging to design for all possible scenarios that a particular robot might encounter. Second, the cost of designing, manufacturing, and maintaining such systems becomes prohibitive.
Author	Navarro-Guerrero, Nicolas Nguyen, Sao Mai Zhong, Junpei Oztop, Erhan
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SubjectTerms	Artificial Intelligence Automation Computer Science Human-Computer Interaction Machine Learning Manufacturing engineering Production lines Reinforcement learning Robot sensing systems Robotics Robots Special issues and sections Statistics Unsupervised learning
Title	Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning
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