IEEE Robotics and Automation Letters Best Paper Award
About the Award
Description: To recognize the best paper of the IEEE Robotics and Automation Letters (RA-L) published in the previous calendar year.
Prize: A single award of $1,000 to be shared by all authors and certificates for individual authors. If there are multiple authors of a winning paper, they will share the $1,000 prize equally. In the exceptional case that two papers are deemed worthy, the authors of each paper will share a $500 prize equally.
Funding: Funded by the IEEE Robotics and Automation Society.
Eligibility: Authorship or co-authorship of all papers published in the IEEE Robotics and Automation Letters in the previous calendar year. Eligibility and Selection process shall comply with procedures and regulation established in IEEE and Society governing documents, particularly with IEEE Policy 4.4 on Awards Limitations. Recipient(s) need not be members of the IEEE or RAS.
Basis for Judging: The RA-L Senior Editorial Board selects the final candidate papers, and the EiC makes the final selection of the winning paper. Scientific and technological excellence will be the unique criterion for judging the papers.
Presentation: At the annual IEEE International Conference on Robotics and Automation (ICRA) in the calendar year following publication of the paper.
Winners of the Award
Bryan Penin, Paolo Robuffo Giordano, and François Chaumette
"Vision-Based Reactive Planning for Aggressive Target Tracking While Avoiding Collisions and Occlusions"
vol. 3, no. 4, pp. 3725-3732, October 2018
Cristina Garcia Cifuentes, Jan Issac, Manuel Wüthrich, Stefan Schaal, Jeannette Bohg
"Probabilistic Articulated Real-Time Tracking for Robot Manipulation"
vol. 2, no. 2, pp. 577-584, 2017
2017 - TWO RECIPIENTS THIS YEAR!
Teun Bartelds, Alex Capra, Salua Hamaza, Stefano Stramigioli, Matteo Fumagalli
"Compliant Aerial Manipulators: Toward a New Generation of Aerial Robotic Workers"
vol. 1, no. 1, pp. 477-483, 2016
Michael. C. Yip, David B. Camarillo
"Model-Less Hybrid Position/Force Control: A Minimalist Approach for Continuum Manipulators in Unknown, Constrained Environments"
vol. 1, no. 2, pp. 844-851, 2016