Detail of the student project

Topic:Hluboké učení pro predikci interakce mezi robotem a terénem
Department:Katedra kybernetiky
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.


Responsible person: Petr Pošík