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Simon Guist
Simon Guist
Max Planck Institute for Intelligent Systems
Bestätigte E-Mail-Adresse bei tuebingen.mpg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Open x-embodiment: Robotic learning datasets and rt-x models
A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ...
arXiv preprint arXiv:2310.08864, 2023
361*2023
Learning to play table tennis from scratch using muscular robots
D Büchler, S Guist, R Calandra, V Berenz, B Schölkopf, J Peters
IEEE Transactions on Robotics 38 (6), 3850-3860, 2022
852022
Open x-embodiment: Robotic learning datasets and RT-x models
Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ...
Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023
262023
AIMY: An open-source table tennis ball launcher for versatile and high-fidelity trajectory generation
A Dittrich, J Schneider, S Guist, N Gürtler, H Ott, T Steinbrenner, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 3058-3064, 2023
62023
The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes
V Berenz, M Naveau, F Widmaier, M Wüthrich, JC Passy, S Guist, ...
Journal of Open Source Software 6 (66), 2752, 2021
62021
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning
S Guist, J Schneider, A Dittrich, V Berenz, B Schölkopf, D Büchler
arXiv preprint arXiv:2303.02234, 2023
22023
Identifying Policy Gradient Subspaces
J Schneider, P Schumacher, S Guist, L Chen, D Häufle, B Schölkopf, ...
arXiv preprint arXiv:2401.06604, 2024
12024
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
S Guist, J Schneider, H Ma, L Chen, V Berenz, J Martus, H Ott, ...
RSS 2024 Workshop: Data Generation for Robotics, 2024
12024
A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions
S Guist, J Schneider, H Ma, V Berenz, J Martus, F Grüninger, ...
arXiv preprint arXiv:2307.02654, 2023
12023
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
V Berenz, F Widmaier, S Guist, B Schölkopf, D Büchler
arXiv preprint arXiv:2306.09764, 2023
2023
Reinforcement Learning for High-Speed Robotics with Muscular Actuation
S Guist
Universität Heidelberg Heidelberg, 2018
2018
The o80 C++ templated toolbox: Designing customized
JCP Wüthrich, S Guist, D Büchler
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