4 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
Beyond Constant Parameters: Hyper Prediction Models and HyperMPC
Jan Węgrzynowski, 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…
On learning racing policies with reinforcement learning
Grzegorz Czechmanowski, Jan Węgrzynowski, Piotr Kicki +1
Fully autonomous vehicles promise enhanced safety and efficiency. However, ensuring reliable operation in challenging corner cases requires control algorithms capable of performing…
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,…
Learning dynamics models for velocity estimation in autonomous racing
Jan Węgrzynowski, Grzegorz Czechmanowski, Piotr Kicki +1
Velocity estimation is of great importance in autonomous racing. Still, existing solutions are characterized by limited accuracy, especially in the case of aggressive driving or po…