2 papers
cs.RO2025
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
Nico Bohlinger, Grzegorz Czechmanowski, Maciej Krupka +4
Deep Reinforcement Learning techniques are achieving state-of-the-art results in robust legged locomotion. While there exists a wide variety of legged platforms such as quadruped,…
cs.RO2025
Beyond Constant Parameters: Hyper Prediction Models and HyperMPC
Jan WÄgrzynowski, Piotr Kicki, Grzegorz Czechmanowski +2
Model Predictive Control (MPC) is among the most widely adopted and reliable methods for robot control, relying critically on an accurate dynamics model. However, existing dynamics…