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Jon Arrizabalaga
Jon Arrizabalaga
PhD Candidate, Technical University of Munich, Carnegie Mellon University
Bestätigte E-Mail-Adresse bei tum.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Real-time neural MPC: Deep learning model predictive control for quadrotors and agile robotic platforms
T Salzmann, E Kaufmann, J Arrizabalaga, M Pavone, D Scaramuzza, ...
IEEE Robotics and Automation Letters 8 (4), 2397-2404, 2023
56*2023
Towards time-optimal tunnel-following for quadrotors
J Arrizabalaga, M Ryll
2022 International Conference on Robotics and Automation (ICRA), 4044-4050, 2022
142022
A caster-wheel-aware MPC-based motion planner for mobile robotics
J Arrizabalaga, N van Duijkeren, M Ryll, R Lange
2021 20th International Conference on Advanced Robotics (ICAR), 613-618, 2021
82021
SCTOMP: Spatially Constrained Time-Optimal Motion Planning
J Arrizabalaga, M Ryll
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
2*2023
Spatial motion planning with Pythagorean Hodograph curves
J Arrizabalaga, M Ryll
2022 IEEE 61st Conference on Decision and Control (CDC), 2047-2053, 2022
22022
Pose-Following with Dual Quaternions
J Arrizabalaga, M Ryll
2023 62nd IEEE Conference on Decision and Control (CDC), 5959-5966, 2023
12023
Geometric Slosh-Free Tracking for Robotic Manipulators
J Arrizabalaga, L Pries, R Laha, R Li, S Haddadin, M Ryll
arXiv preprint arXiv:2402.05197, 2024
2024
Learning for CasADi: Data-driven Models in Numerical Optimization
T Salzmann, J Arrizabalaga, J Andersson, M Pavone, M Ryll
arXiv preprint arXiv:2312.05873, 2023
2023
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