Foto von Zhehua Zhou

M.Sc. Zhehua Zhou

Forschungsinteressen

  • Hybrid Systems
  • Discrete Event Systems
  • Safe (Deep) Learning

      Details

Kurze Biografie

08/2017 - Present Ph.D Student
Chair of Automatic Control Engineering,
Technical University of Munich, Munich, Germany
10/2014 - 03/2017 M.Sc.
Electrical and Computer Engineering,
Technical University of Munich, Munich, Germany
09/2010 - 07/2014 B.Sc.
Mechatronics Engineering,
Tongji University, Shanghai, China

Publikationen

2020

  • Zhou, Zhehua; Oguz, Ozgur S.; Leibold, Marion; Buss, Martin: A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation. IEEE Transactions on Robotics, 2020, 1-19 mehr… Volltext ( DOI ) Volltext (mediaTUM)

2018

  • Ögüz, Ö. S.; Zhou, Z.; Glasauer, S.; Wollherr, D.: An Inverse Optimal Control Approach to Explain Human Arm Reaching Control Based on Multiple Internal Models. Scientific Reports, Nature PG 8 (1), 2018, 5583 mehr… Volltext ( DOI )
  • Ögüz, Ö. S.; Zhou, Z.; Wollherr, D.: A Hybrid Framework for Understanding and Predicting Human Reaching Motions. Frontiers in Robotics and AI 5, 2018, 27 mehr… Volltext ( DOI )

2016

  • Oguz, Ozgur S.; Gabler, Volker; Huber, Gerold; Zhou, Zhehua; Wollherr, Dirk: Hybrid Human Motion Prediction for Action Selection within Human-Robot Collaboration. Experimental Robotics - The 15th International Symposium on Experimental Robotics, {ISER} 2016, October 3-6, 2016, Tokyo, Japan, 2016 mehr…