Advanced Robotics, Volume 33, Issue 24, December 2019 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 33, Issue 24, December 2019
https://www.tandfonline.com/toc/tadr20/33/24
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
Efficient collection and automatic annotation of real-world object images by taking advantage of post-diminished multiple visual markers
https://www.tandfonline.com/doi/abs/10.1080/01691864.2019.1697750
Takuya Kiyokawa, Keita Tomochika, Jun Takamatsu & Tsukasa Ogasawara
Pages: 1264-1280 | DOI: 10.1080/01691864.2019.1697750
Reinforcement learning based compliance control of a robotic walk assist device
https://www.tandfonline.com/doi/abs/10.1080/01691864.2019.1690574
S. G. Khan, M. Tufail, S. H. Shah & I. Ullah
Pages: 1281-1292 | DOI: 10.1080/01691864.2019.1690574
Dynamic environment reconstruction using a pitch-and-go laser scanner
https://www.tandfonline.com/doi/abs/10.1080/01691864.2019.1698459
Tianwei Zhang & Yoshihiko Nakamura
Pages: 1293-1309 | DOI: 10.1080/01691864.2019.1698459