ProTAMP: Probabilistic Task and Motion Planning Considering Human Action for Harmonious Collaboration-Reference-Cited by-同舟云学术

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ProTAMP: Probabilistic Task and Motion Planning Considering Human Action for Harmonious Collaboration

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
Short-container-title:

Author:

Mochizuki Shunsuke¹,Kawasaki Yosuke²,Takahashi Masaki³

Affiliation:

1. School of Science for Open and Environmental Systems, Keio University,Kohoku-ku,Yokohama,Japan,223–8522

2. School of Science for Open and Environmental Systems, Keio University,Kohoku-ku,Yokohama,Japan,223-8522

3. Keio University,Faculty of Science and Technology,Department of System Design Engineering,Kohoku-ku,Yokohama,Japan,223-8522

Funder

Japan Science and Technology Agency (JST)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982074.pdf?arnumber=9982074

Reference16 articles.

1. Modeling Human Helpfulness with Individual and Contextual Factors for Robot Planning

2. Behavior-Tree-Based Person Search for Symbiotic Autonomous Mobile Robot Tasks

3. A note on two problems in connexion with graphs

4. ASTRON: Action-Based Spatio-Temporal Robot Navigation

5. Robot task planning and explanation in open and uncertain worlds

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