no code implementations • 13 Apr 2024 • Puze Liu, Haitham Bou-Ammar, Jan Peters, Davide Tateo
Videos of the real robot experiments are available on the project website (https://puzeliu. github. io/TRO-ATACOM).
1 code implementation • 11 Jan 2023 • Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou-Ammar, Krzysztof Walas, Piotr Skrzypczyński, Jan Peters
Motion planning is a mature area of research in robotics with many well-established methods based on optimization or sampling the state space, suitable for solving kinematic motion planning.
no code implementations • 27 Sep 2022 • Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
Our proposed approach achieves state-of-the-art performance in simulated high-dimensional and dynamic tasks while avoiding collisions with the environment.
no code implementations • 9 Mar 2022 • Marius Memmel, Puze Liu, Davide Tateo, Jan Peters
Black-box policy optimization is a class of reinforcement learning algorithms that explores and updates the policies at the parameter level.
no code implementations • 9 Mar 2022 • Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Jan Peters, Georgia Chalvatzaki
Autonomous robots should operate in real-world dynamic environments and collaborate with humans in tight spaces.
no code implementations • 11 May 2021 • Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters
Reactive motion generation problems are usually solved by computing actions as a sum of policies.