Title :
Natural task decomposition with intrinsic potential fields
Author :
Hart, Stephen ; Grupen, Roderic
Author_Institution :
Univ. of Massachusetts Amherst, Amherst
fDate :
Oct. 29 2007-Nov. 2 2007
Abstract :
Any given task can be solved in a number of ways, whether through path-planning, modeling, or control techniques. In this paper, we present a methodology for natural task decomposition through the use of intrinsically meaningful potential fields. Specifically, we demonstrate that using classical conditioning measures in a concurrent control framework provides a domain-general means for solving tasks. Among the conditioning measures we use are manipulability [T. Yoshikawam, 1985], localizability [J. Uppala et al., 2002], and range of motion. To illustrate the value of our approach we demonstrate its applicability to an industrially relevant inspection task.
Keywords :
concurrent engineering; condition monitoring; inspection; manipulator kinematics; task analysis; concurrent control framework; conditioning measure; inspection task; intrinsic potential field; localizability; manipulability; motion range; natural task decomposition; Computer science; Force control; Inspection; Intelligent robots; Jacobian matrices; Kinematics; Motion measurement; Notice of Violation; Path planning; USA Councils;
Conference_Titel :
Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-0912-9
Electronic_ISBN :
978-1-4244-0912-9
DOI :
10.1109/IROS.2007.4399481