Marc Toussaint

TU Berlin, Learning and Intelligent Systems

Marc Toussaint represents the synthetic disciplines at the intersections of AI planning, machine learning, and robotics. In his view, a key in understanding and creating intelligence is the interplay of learning and reasoning, where learning becomes the enabler for strongly generalizing reasoning and acting in our physical world. Within SCIoI, he is interested in studying computational methods and representations to enable efficient learning and general purpose physical reasoning, and demonstrating such capabilities on real-world robotic systems.
At SCIoI, he is currently working on Project 30 and 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

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