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Advanced Robotics, Volume 32, Issue 18, September 2018 is now available online on Taylor & Francis Online (2018/10/15)

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。

個人会員専用サービス

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/members/index.html

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Taylor & Francis Online – The new journals and reference work platform for
Taylor & Francis
The online platform for Taylor & Francis Online content

Advanced Robotics, Volume 32, Issue 18, September 2018
is now available online on Taylor
& Francis Online .

This new issue contains the following articles:

Full Papers

Hierarchical reinforcement learning of multiple grasping strategies with human
instructions

T. Osa, Jan Peters & G. Neumann
Pages: 955-968 | DOI: 10.1080/01691864.2018.1509018

Position/torque hybrid control of a rigid, high-gear ratio quadruped robot

Okkee Sim, Taejin Jung, Kang Kyu Lee, Jaesung Oh & Jun-Ho Oh
Pages: 969-983 | DOI: 10.1080/01691864.2018.1516162

Analysis, modeling and experimental validation of temperature-changing effect on
mechanical properties of pneumatic artificial muscle

Guolei Wang, Xiaotong Hua, Jing Xu, Libin Song & Ken Chen
Pages: 984-998 | DOI: 10.1080/01691864.2018.1511472

Hand waving in command spaces: a framework for operating home appliances

Takumi Kano, Takuya Kawamura, Hidetsugu Asano, Takeshi Nagayasu & Kazunori Umeda
Pages: 999-1006 | DOI: 10.1080/01691864.2018.1515661


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