RAS announces Publications Best Paper Award recipients! - IEEE Robotics and Automation Society

RAS announces Publications Best Paper Award recipients!

Congratulations to the following Authors for their outstanding achievement as recipients of RAS Publication Awards! The awards were announced and presented at the IEEE International Conference on Robotics and Automation (ICRA) on 1 June 2017 in Singapore.

2017 King-Sun Fu Memorial Award: Best Paper in the IEEE Transactions on Robotics

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Congratulations to the following winners of the 2017 King-Sun Fu Memorial Award. This award honors the best paper printed in the IEEE Transactions on Robotics in the previous year, and was presented by Frank Park - Editor in Chief.

“Rapidly Exploring Random Cycles: Persistent Estimation of Spatiotemporal Fields With Multiple Sensing Robots”
Xiaodong Lan and Mac Schwager
IEEE Transactions on Robotics; vol. 32, no. 5, pp. 1230-1244, October 2016

 

 

 

IEEE Robotics & Automation Magazine Best Paper Award

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Congratulations to the following winners of the 2017 RAM Best Paper Award. This award honors the best paper printed in the IEEE Robotics & Automation Magazine in the previous year, and was presented by Bram Vanderborght - Editor in Chief.

“Practice Makes Perfect-An Optimization Based Approach to Controlling Agile Motions for a Quadruped Robot”
Christian Gehring, Stelian Coros, Marco Hutter, Dario Bellicoso, Huub Heijnen, Remo Diethelm, Michael Bloesch, Péter Fankhauser, Jemin Hwangbo, Markus A. Hoepflinger, Roland Siegwart
IEEE Robotics & Automation Magazine; vol. 23, no. 1, pp. 34-43, March 2016

 

NEW For 2017: IEEE Robotics and Automation Letters Best Paper Award

TWO RECIPIENTS THIS YEAR!

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"Compliant Aerial Manipulators: Toward a New Generation of Aerial Robotic Workers"
Bartelds, A. Capra, S. Hamaza, S. Stramigioli and M. Fumagalli
IEEE Robotics and Automation Letters; vol. 1, no. 1, pp. 477-483, January 2016

"Model-Less Hybrid Position/Force Control: A Minimalist Approach for Continuum Manipulators in Unknown, Constrained Environments"
Michael. C. Yip and David B. Camarillo
IEEE Robotics and Automation Letters; vol. 1, no. 2, pp. 844-851, July 2016

 

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