Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs-Reference-Cited by-同舟云学术

Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs

Published:2023-02-25 Issue:10 Volume:37 Page:621-633
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Ando Tomoki¹²^ORCID,Iino Hiroto¹²^ORCID,Mori Hiroki²³^ORCID,Torishima Ryota⁴,Takahashi Kuniyuki⁵^ORCID,Yamaguchi Shoichiro⁵,Okanohara Daisuke⁵,Ogata Tetsuya¹²^ORCID

Affiliation:

1. Waseda University, Faculty of Science and Engineering, WISE, Tokyo, Japan

2. AIST Artificial Intelligence Research Center (AIRC), Tokyo, Japan

3. The Future Robotics Organization, Waseda University, Tokyo, Japan

4. SoftBank Corp., Tokyo, Japan

5. Preferred Networks Inc., Tokyo, Japan

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2023.2180327

Reference35 articles.

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2. Kuffner JJ, LaValle SM. RRT-connect: An efficient approach to single-query path planning. In: Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No. 00CH37065); San Francisco, CA, USA; Vol. 2; IEEE; 2000. p. 995–1001.

3. Warren CW. Multiple robot path coordination using artificial potential fields. In: Proceedings of IEEE International Conference on Robotics and Automation; Cincinnati, OH, USA; IEEE; 1990. p. 500–505.

4. An efficient improved artificial potential field based regression search method for robot path planning

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