Manipulation planning with directed reachable volumes

Troy McMahon, Read Sandstrom, Shawna Thomas, Nancy M. Amato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Motion planning for manipulators with rotational joints is challenging because the actuation range for each link is constrained by the placement and orientation of other links. Thus, finding paths that avoid self-collision is non-trivial. However, rotational joints are often used in industrial robots. We develop a reparameterization of the planning problem called directed reachable volumes that provides an explicit representation of the workspace regions that the joints and end effectors can reach given the placement and orientation of other links. This formulation, while similar in spirit to prior reachable volume work, does not rely on the same restrictive assumptions that preclude prior work from handling rotational joints. We provide primitive planning operations that can be used in the context of state-of-the-art motion planning methods. We present experimental validation of directed reachable volumes by demonstrating a simulated pick-and-place scenario using realistic robots with rotational joints.

Original languageEnglish (US)
Title of host publicationIROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4026-4033
Number of pages8
ISBN (Electronic)9781538626825
DOIs
StatePublished - Dec 13 2017
Externally publishedYes
Event2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada
Duration: Sep 24 2017Sep 28 2017

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
Volume2017-September
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Other

Other2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
CountryCanada
CityVancouver
Period9/24/179/28/17

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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