Advanced Robotics, Volume 37, Issue 9, May 2023 is now available online on Taylor & Francis Online

日本ロボット学会会員(個人会員のみ)は学会WEBサイトの会員専用サービスから ログインすることにより論文を全文閲覧できますのでご利用ください。

Membership Services


Taylor & Francis Online - The new journals and reference work platform for Taylor & Francis

The online platform for Taylor & Francis Online content


Advanced Robotics, Volume 37, Issue 9, May 2023

This new issue contains the following articles:


* Full Papers

A comparative study of manipulator teleoperation methods for debris retrieval phase in nuclear power plant decommissioning

Naoki Mizuno, Yuichi Tazaki, Tatsuya Hashimoto & Yasuyoshi Yokokohji
Pages: 541-559 | DOI: 10.1080/01691864.2023.2169588

Multi-step motion learning by combining learning-from-demonstration and policy-search

Yaqiang Mo, Hikaru Sasaki, Takamitsu Matsubara & Kimitoshi Yamazaki
Pages: 560-575 | DOI: 10.1080/01691864.2022.2163187

Adaptive finite-time model estimation and control for manipulator visual servoing using sliding mode control and neural networks

Haibin Zeng, Yueyong Lyu, Jiaming Qi, Shuangquan Zou, Tanghao Qin & Wenyu Qin
Pages: 576-590 | DOI: 10.1080/01691864.2022.2163856

Principle of object support by Rope deformation and its application to Rope climbing by snake robot

Ryota Watanabe & Motoyasu Tanaka
Pages: 591-602 | DOI: 10.1080/01691864.2023.2170189


* Correction


Pages: 603-603 | DOI: 10.1080/01691864.2022.2159714