Title :
Hierarchical planning for multi-contact non-prehensile manipulation
Author :
Gilwoo Lee;Tomás Lozano-Pérez;Leslie Pack Kaelbling
Author_Institution :
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, 02139 USA
fDate :
9/1/2015 12:00:00 AM
Abstract :
Manipulation planning involves planning the combined motion of objects in the environment as well as the robot motions to achieve them. In this paper, we explore a hierarchical approach to planning sequences of non-prehensile and prehensile actions. We subdivide the planning problem into three stages (object contacts, object poses and robot contacts) and thereby reduce the size of search space that is explored. We show that this approach is more efficient than earlier strategies that search in the combined robot-object configuration space directly.
Keywords :
"Planning","Manipulators","Search problems","Robot motion","Friction","Force"
Conference_Titel :
Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on
DOI :
10.1109/IROS.2015.7353384