Title :
Cognition, control and learning for everyday manipulation tasks in human environments
Author_Institution :
Comput. Sci. Dept., Tech. Univ. Munchen, Munich
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;
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
DOI :
10.1109/ROMAN.2008.4600627