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Advanced Robotics, Volume 34, Issue 18, September 2020 is now available online on Taylor & Francis Online

The member of RSJ (individual members only) can download all the papers in Advanced Robotics from the Taylor and Francis On-line Journal site: Please log-in at the Membership Service page of RSJ WEB site and click “Advanced Robotics”.

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Advanced Robotics, Volume 34, Issue 18, September 2020
https://www.tandfonline.com/toc/tadr20/34/18

is now available online on Taylor & Francis Online
https://www.tandfonline.com/

 

This new issue contains the following articles:
https://www.tandfonline.com/loi/tadr20


Full Papers

Assisted teleoperation in changing environments with a mixture of virtual guides
https://www.tandfonline.com/doi/full/10.1080/01691864.2020.1785326

| Open Access
Marco Ewerton , Oleg Arenz & Jan Peters
Pages: 1157-1170 | DOI: 10.1080/01691864.2020.1785326

 

Few-experiential learning system of robotic picking task with selective dual-arm grasping
https://www.tandfonline.com/doi/abs/10.1080/01691864.2020.1783352

Shingo Kitagawa , Kentaro Wada , Shun Hasegawa , Kei Okada & Masayuki Inaba
Pages: 1171-1189 | DOI: 10.1080/01691864.2020.1783352

 

Gait event detection based on inter-joint coordination using only angular information
https://www.tandfonline.com/doi/full/10.1080/01691864.2020.1803126

| Open Access
Tamon Miyake , Yo Kobayashi , Masakatsu G. Fujie & Shigeki Sugano
Pages: 1190-1200 | DOI: 10.1080/01691864.2020.1803126

 

Gait-based person identification using 3D LiDAR and long short-term memory deep networks
https://www.tandfonline.com/doi/full/10.1080/01691864.2020.1793812

| Open Access
Hiroyuki Yamada , Jeongho Ahn , Oscar Martinez Mozos , Yumi Iwashita & Ryo Kurazume
Pages: 1201-1211 | DOI: 10.1080/01691864.2020.1793812