| List |
| Topic: | Hluboké učení pro predikci interakce mezi robotem a terénem |
|---|---|
| Department: | Vidění pro roboty a autonomní systémy |
| Supervisor: | doc. Ing. Karel Zimmermann, Ph.D. |
| Announce as: | Diplomová práce, Bakalářská práce, Semestrální projekt |
| Description: | (1) Use an existing robotic platform in our department; see available platforms, for example, here [1].
(2) Implement a differentiable ODE model in PyTorch [2] that models the robot-terrain interaction. (3) Learn to predict terrain properties from RGB images such that the ODE estimated trajectory is as close as possible to the real trajectories of the robot. |
| Bibliography: | [1] http://robotics.fel.cvut.cz/cras/darpa-subt/
[2] https://pytorch.org/tutorials/ [3] https://sites.google.com/view/kkt-loss/home |