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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on cognitive and developmental systems Jg. 13; H. 2; S. 234 - 238
Hauptverfasser: Navarro-Guerrero, Nicolas, Nguyen, Sao Mai, Oztop, Erhan, Zhong, Junpei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.06.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers, Inc
Schlagworte:
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
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:SourceType-Scholarly Journals-1
content type line 14
ObjectType-Editorial-2
ObjectType-Commentary-1
ISSN:2379-8920
2379-8939
DOI:10.1109/TCDS.2021.3082880