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Advanced Robotics, Volume 32, Issue 20, October 2018 is now available online on Taylor & Francis Online (2018/11/09)

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 20, October 2018
is now available online on Taylor
& Francis Online .

This new issue contains the following articles:

Full Papers

Viewpoint optimization for aiding grasp synthesis algorithms using reinforcement
learning

B. Calli, W. Caarls, M. Wisse & P. Jonker
Pages: 1077-1089 | DOI: 10.1080/01691864.2018.1520145

Multiobjective evolution of deep learning parameters for robot manipulator
object recognition and grasping

Delowar Hossain & Genci Capi
Pages: 1090-1101 | DOI: 10.1080/01691864.2018.1529620

Miniature direct-drive two-link using a micro-flat ultrasonic motor

K. Miyoshi & T. Mashimo
Pages: 1102-1110 | DOI: 10.1080/01691864.2018.1524313


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