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Julius Jankowski
Julius Jankowski
PhD Candidate at EPFL, Idiap Research Institute
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Sliding mode momentum observers for estimation of external torques and joint acceleration
G Garofalo, N Mansfeld, J Jankowski, C Ott
2019 International Conference on Robotics and Automation (ICRA), 6117-6123, 2019
542019
Learning constrained distributions of robot configurations with generative adversarial network
TS Lembono, E Pignat, J Jankowski, S Calinon
IEEE Robotics and Automation Letters 6 (2), 4233-4240, 2021
282021
VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior
J Jankowski, L Brudermüller, N Hawes, S Calinon
2023 IEEE International Conference on Robotics and Automation (ICRA), 10125 …, 2023
132023
From Key Positions to Optimal Basis Functions for Probabilistic Adaptive Control
J Jankowski, M Racca, S Calinon
IEEE Robotics and Automation Letters 7 (2), 3242-3249, 2022
72022
Hierarchical motion planning framework for manipulators in human-centered dynamic environments
J Wittmann, J Jankowski, D Wahrmann, DJ Rixen
2020 29th IEEE International Conference on Robot and Human Interactive …, 2020
32020
Probabilistic adaptive control for robust behavior imitation
J Jankowski, H Girgin, S Calinon
IEEE Robotics and Automation Letters 6 (2), 1997-2004, 2021
22021
AiRLIHockey: Highly Reactive Contact Control and Stochastic Optimal Shooting
J Jankowski, A Marić, S Calinon
arXiv preprint arXiv:2401.14964, 2024
12024
Reactive anticipatory robot skills with memory
H Girgin, J Jankowski, S Calinon
The International Symposium of Robotics Research, 436-451, 2022
12022
Planning for Robust Open-loop Pushing: Exploiting Quasi-static Belief Dynamics and Contact-informed Optimization
J Jankowski, L Brudermüller, N Hawes, S Calinon
arXiv preprint arXiv:2404.02795, 2024
2024
CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning
L Brudermüller, G Berger, J Jankowski, R Bhattacharyya, N Hawes
arXiv preprint arXiv:2402.01370, 2024
2024
A Multitask and Kernel Approach for Learning to Push Objects with a Target-Parameterized Deep Q-Network
M Ewerton, M Villamizar, J Jankowski, S Calinon, JM Odobez
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
2023
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