Winner Announced: 2020 International Journal of Intelligent Robotics and Applications Best Paper Award

Established in 2020, the purpose of International Journal of Intelligent Robotics and Applications Best Paper Award is to recognize the best refereed paper published in the prior volume year of the journal.  There would be one award per calendar year. The award shall consist of a printed certificate, a plaque, and $1,000 cash.

For the 1st Best Paper Award, the final winner was selected from original papers (excluding review and survey papers and papers co-authored by the current Editor-in-Chief and Co-Editors-in-Chiefs) published during 2017-2019. Based on quality, originality, utility, timeliness, clarity of presentation, Evaluation Committee screened all the nominations from Editorial Board, Guest Editorial Team, authors and readers. 

The award will be presented to the winner by the EiC of IJIRA, Prof. Kok-Meng Lee at the banquet of the annual International Conference of Intelligent Robotics and Applications (ICIRA) (August 6-8, 2021, Yantai, China). 


Lu, L., Wen, J.T. Human-directed coordinated control of an assistive mobile manipulator. Int J Intell Robot Appl 1, 104–120 (2017).


Pinto, T., Cai, L., Wang, C. et al. CNT-based sensor arrays for local strain measurements in soft pneumatic actuators. Int J Intell Robot Appl 1, 157–166 (2017).

Win, S.K.H., Win, L.S.T., Soh, G.S. et al. Design, modelling and control of collaborative samara autorotating wings (SAW). Int J Intell Robot Appl 3, 144–157 (2019).

Bucki, N., Mueller, M.W. A novel multicopter with improved torque disturbance rejection through added angular momentum. Int J Intell Robot Appl 3, 131–143 (2019).

Zhang, X., Wang, C., Fang, Y. et al. Global homography calibration for monocular vision-based pose measurement of mobile robots. Int J Intell Robot Appl 1, 372–382 (2017).  

Award Evaluation Committee

Bin Yao, Purdue University (Chair)
Gursel Alici, University of Wollongong
Yunhua Li, Beihang University
Jun Ueda, Georgia Institute of Technology
Shane Xie, Leeds University