Task and Motion Planning Methods: Applications and Limitations

Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Selma Kchir, David Filliat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Robots are required to perform more and more complicated tasks, which raises the requirement of more intelligent planning algorithms. As a domain having been explored for decades, task and motion planning (TAMP) methods have achieved significant results, but several challenges remain to be solved. This paper summarizes the development of TAMP from solving objectives, simulation environments, methods and remaining limitations. In particular, it compares different simulation environments and methods used in different tasks aiming to provide a practical guide and overview for the beginners.

Original languageEnglish
Title of host publicationICINCO 2022 - Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics
EditorsGiuseppina Gini, Henk Nijmeijer, Wolfram Burgard, Dimitar P. Filev
PublisherScience and Technology Publications, Lda
Pages476-483
Number of pages8
ISBN (Print)9789897585852
DOIs
Publication statusPublished - 1 Jan 2022
Event19th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2022 - Lisbon, Portugal
Duration: 14 Jul 202216 Jul 2022

Publication series

NameProceedings of the International Conference on Informatics in Control, Automation and Robotics
Volume1
ISSN (Print)2184-2809

Conference

Conference19th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2022
Country/TerritoryPortugal
CityLisbon
Period14/07/2216/07/22

Keywords

  • Learning Methods
  • Simulation Environment
  • Task and Motion Planning

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