Congratulations to the following RAS Members – elevated to Fellow grade, effective 1 January 2014!
2014 RAS Fellows evaluated by the IEEE Robotics & Automation Society:
Martin Buss
Technische Universitaet Muenchen, Germany
“for contributions to haptic telepresence systems and autonomous robots”
James Colgate
Northwestern University, USA
“for contributions to the field of haptics”
Liyi Dai
US Army Research Office, USA
“for leadership and contributions to discrete event systems and singular systems”
Daniel Lee
University of Pennsylvania, USA
“for contributions to machine learning algorithms for perception and motor control”
John Leonard
Massachusetts Institute of Technology, USA
“for contributions to navigation and mapping for mobile robots and autonomous underwater vehicles”
Stefan Schaal
University of Southern California, USA
“for contributions to robot learning and modular motion planning”
Metin Sitti
Carnegie Mellon University, USA
“for contributions to micro and nano-scale robotic systems”
Hong Zhang
University of Alberta, Canada
“for contributions to collective robotics and intelligent sensing in oil sand mining”
2014 RAS Fellows evaluated by other IEEE Societies:
Evaluated by the IEEE Computer Society:
Rene Vidal
Johns Hopkins University, USA
“for contributions to subspace clustering and motion segmentation in computer vision”
Evaluated by the IEEE Computational Intelligence Society:
Robert Kozma
University of Memphis, USA
“for contributions to pattern-based computation based on large-scale networks and random graphs”
Evaluated by the IEEE Computational Intelligence Society:
Kazuo Tanaka
University of Electro-Communications, Japan
“for contributions to fuzzy control system design and analysis”
Evaluated by the IEEE Control Systems Society:
Ali Jadbabaie
University of Pennsylvania, USA
“for contributions to the theory of multi-agent coordination and control”
Evaluated by the IEEE Engineering in Medicine and Biology Society:
Hermano Krebs
Massachusetts Institute of Technology, USA
“for contributions to rehabilitation robotics and the understanding of neuro-rehabilitation”
posted 3 December 2013
