World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator. (17th September 2022)

• Record Type: Journal Article
• Authors: Matsushima, Tatsuya; Noguchi, Yuki; Arima, Jumpei; Aoki, Toshiki; Okita, Yuki; Ikeda, Yuya; Ishimoto, Koki; Taniguchi, Shohei; Yamashita, Yuki; Seto, Shoichi; Gu, Shixiang Shane; Iwasawa, Yusuke; Matsuo, Yutaka
• Is Part Of: Advanced robotics. Volume 36:Number 17/18(2022)
• Page Start: 850
• Page End: 869
• Publication Date: 2022-09-17
• Subjects: Service robot -- partner robot -- mobile manipulation -- robot system -- deep learning; Robotics -- Periodicals; Robotics -- Japan -- Periodicals; Robotics; Japan; Periodicals; 629.89205
• DOI: 10.1080/01691864.2022.2114297
• Languages: English
• ISSNs: 0169-1864

Abstract

Abstract : Tidying up a household environment using a mobile manipulator poses various challenges in robotics, such as adaptation to large real-world environmental variations, and safe and robust deployment in the presence of humans. The Partner Robot Challenge in World Robot Challenge (WRC) 2020, a global competition held in September 2021, benchmarked tidying tasks in real home environments, and, importantly, tested for full system performances. For this challenge, we developed an entire household service robot system, which leverages a data-driven approach to adapt to numerous edge cases that occur during the execution, instead of classical manual pre-programmed solutions. In this paper, we describe the core ingredients of the proposed robot system, including visual recognition, object manipulation, and motion planning. Our robot system won the second prize, verifying the effectiveness and potential of data-driven robot systems for mobile manipulation in home environments. GRAPHICAL ABSTRACT: UF0001