DocumentCode
2596772
Title
Cognition, control and learning for everyday manipulation tasks in human environments
Author
Beetz, Michael
Author_Institution
Comput. Sci. Dept., Tech. Univ. Munchen, Munich
fYear
2008
fDate
1-3 Aug. 2008
Abstract
Summary form only given. In recent years we have seen tremendous advances in the mechatronic, sensing and computational infrastructure of robots, enabling them to act faster, stronger and more accurately than humans do. Yet, when it comes to accomplishing manipulation tasks in everyday settings, robots often do not even reach the sophistication and performance of young children. This is partly due to humans having developed their brains into computational and control devices that facilitate knowledge-informed decision making, perspective taking, envisioning activities and their consequences, and predictive control. Brains orchestrate these learning and reasoning mechanisms in order to produce flexible, adaptive, and reliable behavior in real-time. Household chores are an activity domain where the superiority of the cognitive mechanisms in the brain and their role in competent activity control is particularly evident.
Keywords
cognition; home automation; knowledge based systems; predictive control; robot programming; service robots; brain; cognition; cognitive mechanisms; competent activity control; control devices; everyday manipulation tasks; household chores; human environments; knowledge-informed decision making; predictive control; reasoning mechanisms; robots; Cognition; Cognitive robotics; Computer science; Decision making; Humans; Mechatronics; Predictive control; Robot control; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot and Human Interactive Communication, 2008. RO-MAN 2008. The 17th IEEE International Symposium on
Conference_Location
Munich
Print_ISBN
978-1-4244-2212-8
Electronic_ISBN
978-1-4244-2213-5
Type
conf
DOI
10.1109/ROMAN.2008.4600627
Filename
4600627
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