Advisor(s):
Jan Peters
I pursue a PhD in the field of Machine Learning and Robotics with Jan Peters at the Robot Learning lab within the Empirical Inference dept by Bernhard Schölkopf. Before, I received a MSc degree in Biomedical Engineering at the Imperial College London working with Aldo Faisal. My BEng degree was rewarded to me in Information and Electrical Engineering from HAW Hamburg in conjunction with Siemens Healthcare.
My big aim is to use Machine Learning methods, especially a variety of different Reinforcement Learning approaches, to reach the performance of humans at fast changing, uncertain and high-dimensional tasks. For that purpose I develop algorithms that learn to control systems like the 7 DOF Barrett Wam arm or a self-designed muscle based robot to play table tennis.
For information and detailed construction details for the 4-DoF pneumatic artificial muscle actuated robot arm please send me an email: dbuechler[at]tue[dot]mpg[dot]de.
Video accompanying our ICRA 2016 paper 'A lightweight robotic arm with pneumatic muscles for robot learning'. This video highlights the fast hitting motions that the four degrees of freedom robot is capable of generating and safely executing. This is realized purely using muscular actuation. This property is especially useful for Machine Learning approaches that explore. With our system we hope to enable exploration in fast motion domains and hence the application of Machine Learning in tasks like smashing table tennis balls.
Büchler, D., Calandra, R., Schölkopf, B., Peters, J.
IEEE Robotics and Automation Letters, Robotics and Automation Letters, 3(4):3161-3168, IEEE, 2018 (article)
ei
am ei
am ei
Büchler, D., Calandra, R., Peters, J.
Workshop on Neurorobotics, Neural Information Processing Systems (NIPS), 2016 (conference)am ei
For website questions and technical problems please contact:
© 2019 Max-Planck-Gesellschaft - Imprint | Privacy Policy