Advanced Robotics, Volume 33, Issue 6, March 2019 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。
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”.
https://www.rsj.or.jp/member/
----------------------------------------------------------------------
Taylor & Francis Online - The new journals and reference work platform for
Taylor & Francis <https://www.tandfonline.com>
The online platform for Taylor & Francis Online content
Advanced Robotics, Volume 33, Issue 6, March 2019
<https://www.tandfonline.com/toc/tadr20/33/6> is now available online on Taylor
& Francis Online <https://www.tandfonline.com>.
This new issue contains the following articles:
<http://www.tandfonline.com/loi/tadr20>
Survey Paper
Unmanned aerial vehicles using machine learning for autonomous flight;
state-of-the-art
<https://www.tandfonline.com/action/doSecureKeyLogin?uuid=55a4eb1f-a1e3-4d34-a02a-c86c7306247e&dateTime=201904070455&key=ypx8YulQaclrp4K3WcKAWMEZhXvA63ZTEp%2FB1aKydnQ%3D&uri=https%3A%2F%2Fwww.tandfonline.com%2Fdoi%2Ffull%2F10.1080%2F01691864.2019.1586760%3Fai%3D12l8s%26ui%3D2usun%26af%3DH>
Su Yeon Choi & Dowan Cha
Pages: 265-277 | DOI: 10.1080/01691864.2019.1586760
Full Papers
Effect of practice on similar and dissimilar skills in patient transfer through
training with a robot patient
<https://www.tandfonline.com/action/doSecureKeyLogin?uuid=55a4eb1f-a1e3-4d34-a02a-c86c7306247e&dateTime=201904070455&key=ypx8YulQaclrp4K3WcKAWMEZhXvA63ZTEp%2FB1aKydnQ%3D&uri=https%3A%2F%2Fwww.tandfonline.com%2Fdoi%2Ffull%2F10.1080%2F01691864.2019.1578689%3Fai%3D12l8s%26ui%3D2usun%26af%3DH>
Chingszu Lin, Zhifeng Huang, Masako Kanai-Pak, Jukai Maeda, Yasuko Kitajima,
Mitsuhiro Nakamura, Noriaki Kuwahara, Taiki Ogata & Jun Ota
Pages: 278-292 | DOI: 10.1080/01691864.2019.1578689
Real-time humanoid whole-body remote control framework for imitating human
motion based on kinematic mapping and motion constraints
<https://www.tandfonline.com/action/doSecureKeyLogin?uuid=55a4eb1f-a1e3-4d34-a02a-c86c7306247e&dateTime=201904070455&key=ypx8YulQaclrp4K3WcKAWMEZhXvA63ZTEp%2FB1aKydnQ%3D&uri=https%3A%2F%2Fwww.tandfonline.com%2Fdoi%2Ffull%2F10.1080%2F01691864.2019.1581658%3Fai%3D12l8s%26ui%3D2usun%26af%3DH>
Jaesung Oh, Inho Lee, Hyobin Jeong & Jun-Ho Oh
Pages: 293-305 | DOI: 10.1080/01691864.2019.1581658