DocumentCode
3709096
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
fYear
2015
fDate
9/1/2015 12:00:00 AM
Firstpage
264
Lastpage
271
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"
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on
Type
conf
DOI
10.1109/IROS.2015.7353384
Filename
7353384
Link To Document