Every second year we give out awards to papers published within our consortium that are deemed to be exemplary. The first author receives a 500 CHF cash prize and a certificate.
To submit a paper, login to the intranet (NCCR Robotics members only) where instructions for the Best Paper Award are available.
2018 Best Paper Award
The 2018 Best PhD Paper was awarded to Jenifer Mielhbradt for her paper “Data-driven body–machine interface for the accurate control of drones“ 
The 2018 Best Postdoc Paper was awarded to Jeff Delmerico for his paper “A Benchmark Comparison of Monocular Visual-Inertial Odometry Algorithms for Flying Robots“
2016 Best Paper Award
he 2016 NCCR Robotics Best Postdoc Paper was awarded to Marco Capogrosso for his paper Mechanisms Underlying the Neuromodulation of Spinal Circuits for Correcting Gait and Balance Deficits after Spinal Cord Injury. DOI: 10.1016/j.neuron.2016.01.009 
The 2016 NCCR Robotics PhD Best Paper was awarded to Jun Shintake for his paper Versatile soft grippers with intrinsic electroadhesion based on mulifunctional polymer actuators DOI: 10.1002/adma.201504264 
A special mention was given to Michael Neunert for his paper Fast nonliner Model Predictive Control for Unified Trajectory Optimization and Tracking DOI: 10.1109/ICRA.2016.7487274
2014 Best Paper Award
Stanisa Raspopovic won the best Postdoc paper for Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses. DOI: 10.1126/scitranslmed.3006820 
Klas Kronander won the Best PhD paper for his paper entitled Learning Compliant Manipulation through Tactile and Kinesthetic Human-Robot Interaction. doi: 10.1109/TOH.2013.54.
2012 Best Paper Award
David Remy won the best Postdoc Paper Award for the paper entitled Quadrupedal Robots with Stiff and Compliant Actuation. DOI: https://doi.org/10.1524/auto.2012.1042 
Best PhD Paper awarded to Michal Dobrzynski for the paper entitled Quantifying information transfer through a head attached vibrotactile display: principles for design and control. doi: 10.1109/TBME.2012.2196433