Danny Driess

Doctoral researcher
mail: danny.driess@campus.tu-berlin.de

Danny Driess is a doctoral researcher in Marc Toussaint’s team. His PhD focuses on learning in Task and Motion Planning with a special focus on connecting perception and planning for sequential manipulation tasks through machine learning.
Within SCIoI, he investigates novel ways to couple sequential manipulation planning with reactive policies for execution. He received his Bachelor of Science (with distinction) in Simulation Technology in 2016 and his Master of Science (with distinction) in Simulation Technology in 2019, both from the University of Stuttgart.
At SCIoI, he is currently working on Project 39.

SCIoI Publications

Driess, D., Ha, J.-S., Toussaint, M., & Tedrake, R. (2021). Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning. ArXiv:2110.00792 [Cs]. http://arxiv.org/abs/2110.00792
Driess, D., Ha, J.-S., & Toussaint, M. (2021). Learning to solve sequential physical reasoning problems from a scene image. The International Journal of Robotics Research, 40(12–14), 1435–1466. https://doi.org/10.1177/02783649211056967

User registration

You don't have permission to register

Reset Password