Jon Arrizabalaga

25 papers A* 2A 2Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
ADMM-based Continuous Trajectory Optimization in Graphs of Convex Sets.
CoRR
Lukas Pries, Jon Arrizabalaga, Zachary Manchester, Markus Ryll
2025 J jnl
Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks.
CoRR
Rishi Veerapaneni, Alvin Tang, Haodong He, Sophia Zhao, Viraj Shah, Yidai Cen, Ziteng Ji, Gabriel Olin, Jon Arrizabalaga, Yorai Shaoul, Jiaoyang Li, Maxim Likhachev
2025 J jnl
Convex Maneuver Planning for Spacecraft Collision Avoidance.
CoRR
Fausto Vega, Jon Arrizabalaga, Ryan Watson, Zachary Manchester
2025 J jnl
DQ-NMPC: Dual-Quaternion NMPC for Quadrotor Flight.
CoRR
Luis F. Recalde, Dhruv Agrawal, Jon Arrizabalaga, Guanrui Li
2025 J jnl
The Trajectory Bundle Method: Unifying Sequential-Convex Programming and Sampling-Based Trajectory Optimization.
CoRR
Kevin Tracy, John Z. Zhang, Jon Arrizabalaga, Stefan Schaal, Yuval Tassa, Tom Erez, Zachary Manchester
2025 J jnl
Trajectory Planning Using Safe Ellipsoidal Corridors as Projections of Orthogonal Trust Regions.
CoRR
Akshay Jaitly, Jon Arrizabalaga, Guanrui Li
2024 J jnl
A Universal Formulation for Path-Parametric Planning and Control.
CoRR
Jon Arrizabalaga, Markus Ryll
2024 A conf
Differentiable Collision-Free Parametric Corridors.
IROS
Jon Arrizabalaga, Zachary Manchester, Markus Ryll
2024 J jnl
Differentiable Collision-Free Parametric Corridors.
CoRR
Jon Arrizabalaga, Zachary Manchester, Markus Ryll
2024 A* conf
Geometric Slosh-Free Tracking for Robotic Manipulators.
ICRA
Jon Arrizabalaga, Lukas Pries, Riddhiman Laha, Runkang Li, Sami Haddadin, Markus Ryll
2024 J jnl
Geometric Slosh-Free Tracking for Robotic Manipulators.
CoRR
Jon Arrizabalaga, Lukas Pries, Riddhiman Laha, Runkang Li, Sami Haddadin, Markus Ryll
2024 — conf
Learning for CasADi: Data-driven models in numerical optimization.
L4DC
Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll
2024 J jnl
PHODCOS: Pythagorean Hodograph-based Differentiable Coordinate System.
CoRR
Jon Arrizabalaga, Fausto Vega, Zbynek Sír, Zachary Manchester, Markus Ryll
2023 J jnl
Learning for CasADi: Data-driven Models in Numerical Optimization.
CoRR
Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll
2023 — conf
Pose-Following with Dual Quaternions.
CDC
Jon Arrizabalaga, Markus Ryll
2023 J jnl
Pose-Following with Dual Quaternions.
CoRR
Jon Arrizabalaga, Markus Ryll
2023 J jnl
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.
IEEE Robotics Autom. Lett.
Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll
2023 A conf
SCTOMP: Spatially Constrained Time-Optimal Motion Planning.
IROS
Jon Arrizabalaga, Markus Ryll
2022 — conf
Spatial motion planning with Pythagorean Hodograph curves.
CDC
Jon Arrizabalaga, Markus Ryll
2022 J jnl
Spatial motion planning with Pythagorean Hodograph curves.
CoRR
Jon Arrizabalaga, Markus Ryll
2022 J jnl
Spatially Constrained Time-Optimal Motion Planning.
CoRR
Jon Arrizabalaga, Markus Ryll
2022 A* conf
Towards Time-Optimal Tunnel-Following for Quadrotors.
ICRA
Jon Arrizabalaga, Markus Ryll
2021 — conf
A caster-wheel-aware MPC-based motion planner for mobile robotics.
ICAR
Jon Arrizabalaga, Niels van Duijkeren, Markus Ryll, Ralph Lange
2021 J jnl
A caster-wheel-aware MPC-based motion planner for mobile robotics.
CoRR
Jon Arrizabalaga, Niels van Duijkeren, Markus Ryll, Ralph Lange
2021 J jnl
Towards Time-Optimal Tunnel-Following for Quadrotors.
CoRR
Jon Arrizabalaga, Markus Ryll