Author: Petar Kormushev

Petar Kormushev is a Lecturer at Imperial College London doing research in robotics and machine learning. In 2009 he graduated with a PhD degree in Computational Intelligence from Tokyo Institute of Technology. His research interests include various forms of robot learning and machine learning algorithms, especially reinforcement learning for intelligent robot behavior. He holds a MSc degree in Artificial Intelligence, a MSc degree in Bio- and Medical Informatics, and a BSc degree in Computer Science from Sofia University. He has participated in many scientific projects, including European INFRAWEBS project for designing the future Semantic Web, and Japanese NEDO project for developing a common basis for next-generation robots. Since 2012 he is a technical coordinator of two FP7 projects (PANDORA and STIFF-FLOP) at IIT, and a co-chair of the IEEE RAS Technical Committee on Robot Learning. He has won a number of prestigious awards, including a “John Atanasoff” scholarship, a “St. Kliment Ohridski” award, and a 4-year Monbukagakusho/MEXT Japanese research fellowship.

DARPA Robotics Challenge Finals

I participated in the DARPA Robotics Challenge which took place in Pomona, California in June 2015.
http://www.theroboticschallenge.org/

I was a member of the WALK-MAN team representing Italy:
http://kormushev.com/topics/walk-man-robot/

Our robot is called WALK-MAN and is a humanoid robot recently developed by Istituto Italiano di Tecnologia and University of Pisa in Italy, within the European funded project WALK-MAN (www.walk-man.eu). The project is a four-year research programme which started in October 2013 and aims to develop a humanoid robot for disaster response operations.

 

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