World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator-Reference-Cited by-同舟云学术

World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator

Published:2022-08-30 Issue:17-18 Volume:36 Page:850-869
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Matsushima Tatsuya¹^ORCID,Noguchi Yuki¹,Arima Jumpei²,Aoki Toshiki³,Okita Yuki⁴,Ikeda Yuya³,Ishimoto Koki⁴,Taniguchi Shohei¹,Yamashita Yuki⁴,Seto Shoichi³,Gu Shixiang Shane¹,Iwasawa Yusuke¹,Matsuo Yutaka¹

Affiliation:

1. Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

2. Matsuo Institute, Tokyo, Japan

3. Faculty of Engineering, The University of Tokyo, Tokyo, Japan

4. Graduate School of Information Science and Technology, The University of Tokyo, 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/10.1080/01691864.2022.2114297

Reference43 articles.

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2. Unseen Object Instance Segmentation for Robotic Environments

3. Radford A, Kim JW, Hallacy C, et al. Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning. PMLR. 2021. p. 8748–8763.

4. Learning quadrupedal locomotion over challenging terrain

5. Yang Y, Caluwaerts K, Iscen A, et al. Data efficient reinforcement learning for legged robots. In: Conference on Robot Learning. Osaka: PMLR. 2020. p. 1–10.

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