Towards general purpose service robots: World Robot Summit – Partner Robot Challenge-Reference-Cited by-同舟云学术

Towards general purpose service robots: World Robot Summit – Partner Robot Challenge

Published:2022-08-12 Issue:17-18 Volume:36 Page:812-824
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Contreras Luis¹^ORCID,Yamamoto Takashi²^ORCID,Matsusaka Yosuke³^ORCID,Okada Hiroyuki¹^ORCID

Affiliation:

1. Brain Science Institute, Tamagawa University, Tokyo, Japan

2. Frontier Research Center, Toyota Motor Corporation, Toyota, Japan

3. MID Academic Promotions 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/10.1080/01691864.2022.2109428

Reference23 articles.

1. Fukui H, Hirakawa T, Yamashita T, et al. Visual explanation of robot navigation using deep reinforcement learning using attention branch [in Japanese]. The 37th annual conference of the Robotics Society of Japan; Waseda University, Tokyo, Japan; 2019.

2. Attention Branch Network: Learning of Attention Mechanism for Visual Explanation

3. Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning

4. Zhu R, Nagahama K, Takeshita K, et al. Online generation of reaching behavior based on swept volume search [in Japanese]. The 37th annual conference of the Robotics Society of Japan; Waseda University, Tokyo, Japan; 2019.

5. A Learning Method for a Daily Assistive Robot for Opening and Closing Doors Based on Simple Instructions

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