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Planning in Time-Configuration Space for Efficient Pick-and-Place in Non-Static Environments with Temporal Constraints

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

Original languageEnglish
Title of host publication2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)
Place of PublicationBeijing, China
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-9
Number of pages8
ISBN (Electronic)978-1-5386-7283-9
ISBN (Print)978-1-5386-7284-6
DOIs
Publication statusPublished - 24 Jan 2019
Event2018 IEEE-RAS 18th International Conference on Humanoid Robots - Beijing, China
Duration: 6 Nov 20189 Nov 2018
http://humanoids2018.csp.escience.cn/dct/page/1

Publication series

Name
ISSN (Electronic)2164-0580

Conference

Conference2018 IEEE-RAS 18th International Conference on Humanoid Robots
Abbreviated titleHumanoids 2018
CountryChina
CityBeijing
Period6/11/189/11/18
Internet address

Abstract

This paper presents a novel sampling-based motion planning method using bidirectional search with a time configuration space representation that is able to efficiently generate collision-free trajectories in complex and non-static environments. Our approach exploits time indexing to separate a complex problem with mixed constraints into multiple subproblems with simpler constraints that can be solved efficiently. We further introduce a planning framework by incorporating the proposed planning method enabling efficient pick-and-place of large objects in various scenarios. Simulation as well as hardware experiments show that the method also scales from redundant robot arms to mobile manipulators and humanoids. In particular, we have demonstrated that the proposed method is able to plan collision-free motion for a humanoid robot to pick up a large object placed inside a moving storage box while walking.

Event

2018 IEEE-RAS 18th International Conference on Humanoid Robots

6/11/189/11/18

Beijing, China

Event: Conference

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