Julian Viereck
Julian Viereck
PhD Student at Max Planck Institute for Intelligent Systems
Verified email at
Cited by
Cited by
An open torque-controlled modular robot architecture for legged locomotion research
F Grimminger, A Meduri, M Khadiv, J Viereck, M WŁthrich, M Naveau, ...
IEEE Robotics and Automation Letters 5 (2), 3650-3657, 2020
Biconmp: A nonlinear model predictive control framework for whole body motion planning
A Meduri, P Shah, J Viereck, M Khadiv, I Havoutis, L Righetti
IEEE Transactions on Robotics 39 (2), 905-922, 2023
Trifinger: An open-source robot for learning dexterity
M WŁthrich, F Widmaier, F Grimminger, J Akpo, S Joshi, V Agrawal, ...
arXiv preprint arXiv:2008.03596, 2020
Learning a centroidal motion planner for legged locomotion
J Viereck, L Righetti
2021 IEEE International Conference on Robotics and Automation (ICRA), 4905-4911, 2021
Learning a structured neural network policy for a hopping task
J Viereck, J Kozolinsky, A Herzog, L Righetti
IEEE Robotics and Automation Letters 3 (4), 4092-4099, 2018
ValueNetQP: Learned one-step optimal control for legged locomotion
J Viereck, A Meduri, L Righetti
Learning for Dynamics and Control Conference, 931-942, 2022
A real-robot dataset for assessing transferability of learned dynamics models
D Agudelo-Espana, A Zadaianchuk, P Wenk, A Garg, J Akpo, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 8151-8157, 2020
Learning Optimal Control for Legged Locomotion
J Viereck
New York University Tandon School of Engineering, 2022
TriFinger: An Open-Source Robot for Learning Dexterity
B Hammoud, M Khadiv, M Bogdanovic, V Berenz, J Viereck, M Naveau, ...
arXiv preprint arXiv:2008.03596, 2020
Learning to Hop using Guided Policy Search on Real Robot Hardware
J Viereck, F Grimmiger, A Herzog, L Righetti
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