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Miguel Zamora
Miguel Zamora
ETH Zurich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Pods: Policy optimization via differentiable simulation
MAZ Mora, M Peychev, S Ha, M Vechev, S Coros
International Conference on Machine Learning, 7805-7817, 2021
412021
A multi-level optimization framework for simultaneous grasping and motion planning
S Zimmermann, G Hakimifard, M Zamora, R Poranne, S Coros
IEEE Robotics and Automation Letters 5 (2), 2966-2972, 2020
352020
Rl+ model-based control: Using on-demand optimal control to learn versatile legged locomotion
D Kang, J Cheng, M Zamora, F Zargarbashi, S Coros
IEEE Robotics and Automation Letters, 2023
262023
Gradient-based trajectory optimization with learned dynamics
B Sukhija, N Köhler, M Zamora, S Zimmermann, S Curi, A Krause, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 1011-1018, 2023
42023
Trtm: Template-based reconstruction and target-oriented manipulation of crumpled cloths
W Wang, G Li, M Zamora, S Coros
2024 IEEE International Conference on Robotics and Automation (ICRA), 12522 …, 2024
32024
Deep Compliant Control for Legged Robots
A Hartmann, D Kang, F Zargarbashi, M Zamora, S Coros
2024 IEEE International Conference on Robotics and Automation (ICRA), 11421 …, 2024
12024
Learning solution manifolds for control problems via energy minimization
M Zamora, R Poranne, S Coros
IEEE Robotics and Automation Letters 7 (3), 7912-7919, 2022
12022
PokeFlex: Towards a Real-World Dataset of Deformable Objects for Robotic Manipulation
J Obrist, M Zamora, H Zheng, J Zarate, RK Katzschmann, S Coros
arXiv preprint arXiv:2409.17124, 2024
2024
Embracing Safe Contacts with Contact-aware Planning and Control
Z Li, M Zamora, H Zheng, S Coros
arXiv preprint arXiv:2308.04323, 2023
2023
Trajectory Optimization Using Neural Network Gradients of Learned Dynamics
N Köhler, B Sukhija, M Zamora, S Zimmermann, S Coros
arXiv e-prints, arXiv: 2204.04558, 2022
2022
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