Title :
Hierarchical task and motion planning in the now
Author :
Kaelbling, Leslie Pack ; Lozano-Pérez, Tomás
Author_Institution :
CSAIL, MIT, Cambridge, MA, USA
Abstract :
In this paper we outline an approach to the integration of task planning and motion planning that has the following key properties: It is aggressively hierarchical; it makes choices and commits to them in a top-down fashion in an attempt to limit the length of plans that need to be constructed, and thereby exponentially decrease the amount of search required. It operates on detailed, continuous geometric representations and does not require a-priori discretization of the state or action spaces.
Keywords :
mobile robots; path planning; continuous geometric representations; hierarchical task planning; motion planning; top-down fashion; Concrete; Geometry; Grasping; Planning; Robot sensing systems; Semantics;
Conference_Titel :
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-386-5
DOI :
10.1109/ICRA.2011.5980391