M.Sc. Reinhard Grassmann
Reinhard Grassmann studied mechatronics at Leibniz Universität Hannover. He prepared his bachelor thesis on “Generating Smooth Trajectories for Obstacle Avoidance via Quaternions in Cartesian Space” supervised by Prof. Dr.-Ing. Haddadin (IRT). In April 2018 he joined the Laboratory for Continuum Robotics of the Leibniz Universität Hannover as research assistant after successfully defending his master's thesis on "Artificial Neural Networks for Learning Forward and Inverse Kinematics of Tubular Continuum Robots" supervised Prof. Dr.-Ing. Burgner-Kahrs. In May 2019 he moved to the Continuum Robotics Laboratory at the University of Toronto.
His research interests are machine learning and trajectory planning.
- trajectory and path planning
- machine learning
- data acquisition and processing
- Continuum Robotics