Advanced Robotics, Volume 33, Issue 22, November 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 22, November 2019
https://www.tandfonline.com/toc/tadr20/33/22
is now available online on Taylor & Francis Online
https://www.tandfonline.com/
Special Issue on Artificial Intelligence and Machine Learning for Robotic Manipulation
This new issue contains the following articles:
https://www.tandfonline.com/loi/tadr20
Preface
Special issue on artificial intelligence and machine learning for robotic manipulation
https://www.tandfonline.com/doi/full/10.1080/01691864.2019.1686810
Akihiko Yamaguchi, Takamitsu Matsubara, Nikolaus Vahrenkamp, Oliver Kroemer & Kensuke Harada
Pages: 1155-1155 | DOI: 10.1080/01691864.2019.1686810
Full Papers
A framework for robotic clothing assistance by imitation learning
https://www.tandfonline.com/doi/abs/10.1080/01691864.2019.1636715
R. P. Joshi, N. Koganti & T. Shibata
Pages: 1156-1174 | DOI: 10.1080/01691864.2019.1636715
Anytime motion planning for prehensile manipulation in dense clutter
https://www.tandfonline.com/doi/abs/10.1080/01691864.2019.1690207
Andrew Kimmel, Rahul Shome & Kostas Bekris
Pages: 1175-1193 | DOI: 10.1080/01691864.2019.1690207
Integrated thermal assembly using hierarchical kernel regression method
https://www.tandfonline.com/doi/abs/10.1080/01691864.2019.1679252
Jianhua Su, Bin Chen, Chuankai Liu, Xu Yang, Zhiyong Liu & Hong Qiao
Pages: 1194-1208 | DOI: 10.1080/01691864.2019.1679252