Combining Planning and Motion Planning

Authors Jaesik Choi, Eyal Amir



PDF
Thumbnail PDF

File

DagSemProc.10081.6.pdf
  • Filesize: 215 kB
  • 8 pages

Document Identifiers

Author Details

Jaesik Choi
Eyal Amir

Cite As Get BibTex

Jaesik Choi and Eyal Amir. Combining Planning and Motion Planning. In Cognitive Robotics. Dagstuhl Seminar Proceedings, Volume 10081, pp. 1-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010) https://doi.org/10.4230/DagSemProc.10081.6

Abstract

Robotic manipulation is important for real, physical world
applications. General Purpose manipulation with a robot (eg.
delivering dishes, opening doors with a key, etc.) is demanding.
It is hard because (1) objects are constrained in position
and orientation, (2) many non-spatial constraints interact
(or interfere) with each other, and (3) robots may have multidegree
of freedoms (DOF). In this paper we solve the problem
of general purpose robotic manipulation using a novel
combination of planning and motion planning. Our approach
integrates motions of a robot with other (non-physical or
external-to-robot) actions to achieve a goal while manipulating
objects. It differs from previous, hierarchical approaches
in that (a) it considers kinematic constraints in configuration
space (C-space) together with constraints over object manipulations;
(b) it automatically generates high-level (logical) actions
from a C-space based motion planning algorithm; and
(c) it decomposes a planning problem into small segments,
thus reducing the complexity of planning.

Subject Classification

Keywords
  • Motion Planning
  • Factored Planning
  • Robotic arm

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail