Andrea Carron

78 papers A* 2A 3C 2Journal 59Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distributed Predictive Control Barrier Functions: Towards Scalable Safety Certification in Modular Multi-Agent Systems.
CoRR
Jonas Ohnemus, Alexandre Didier, Ahmed Aboudonia, Andrea Carron, Melanie N. Zeilinger
2026 J jnl
Graph Neural Model Predictive Control for High-Dimensional Systems.
CoRR
Patrick Benito Eberhard, Luis A. Pabon, Daniele Gammelli, Hugo Buurmeijer, Amon Lahr, Mark Leone, Andrea Carron, Marco Pavone
2026 J jnl
Real-Time Online Learning for Model Predictive Control using a Spatio-Temporal Gaussian Process Approximation.
CoRR
Lars Bartels, Amon Lahr, Andrea Carron, Melanie N. Zeilinger
2025 J jnl
An MPC framework for efficient navigation of mobile robots in cluttered environments.
CoRR
Johannes Köhler, Daniel Zhang, Raffaele Soloperto, Andrea Carron, Melanie Nicole Zeilinger
2025 J jnl
Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing.
CoRR
Hao Ma, Sabrina Bodmer, Andrea Carron, Melanie Nicole Zeilinger, Michael Muehlebach
2025 J jnl
Distribution-Free Stochastic MPC for Joint-in-Time Chance-Constrained Linear Systems.
CoRR
Lukas Vogel, Andrea Carron, Eleftherios E. Vlahakis, Dimos V. Dimarogonas
2025 J jnl
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing.
CoRR
Benedict Hildisch, Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Andrea Carron, Michele Magno
2025 J jnl
ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial Off-the-Shelf Hardware.
J. Field Robotics
Nicolas Baumann, Edoardo Ghignone, Jonas Kühne, Niklas Bastuck, Jonathan Becker, Nadine Imholz, Tobias Kränzlin, Tian Yi Lim, Michael Lötscher, Luca Schwarzenbach, Luca Tognoni, Christian Vogt, Andrea Carron, Michele Magno
2025 J jnl
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute.
IEEE Robotics Autom. Lett.
Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno
2025 J jnl
Learning-based Approximate Model Predictive Control for an Impact Wrench Tool.
CoRR
Mark Benazet, Francesco Ricca, Dario Bralla, Melanie N. Zeilinger, Andrea Carron
2025 J jnl
Multi-Timescale Model Predictive Control for Slow-Fast Systems.
CoRR
Lukas Schroth, Daniel Morton, Amon Lahr, Daniele Gammelli, Andrea Carron, Marco Pavone
2025 J jnl
Performance-Driven Constrained Optimal Auto-Tuner for MPC.
IEEE Robotics Autom. Lett.
Albert Gassol Puigjaner, Manish Prajapat, Andrea Carron, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
Performance-driven Constrained Optimal Auto-Tuner for MPC.
CoRR
Albert Gassol Puigjaner, Manish Prajapat, Andrea Carron, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction.
IEEE Robotics Autom. Lett.
Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno
2025 A* conf
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms.
ICRA
Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Jonathan Wang, Lei Xie, Andrea Carron, Michele Magno
2025 J jnl
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms.
CoRR
Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Jonathan Wang, Lei Xie, Andrea Carron, Michele Magno
2025 J jnl
Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework.
CoRR
Patrick Benito Eberhard, Johannes Köhler, Oliver Hüsser, Melanie N. Zeilinger, Andrea Carron
2025 J jnl
Uncertainty-Aware Perception-Based Control for Autonomous Racing.
CoRR
Jelena Trisovic, Andrea Carron, Melanie N. Zeilinger
2024 J jnl
Active Learning-Based Model Predictive Coverage Control.
IEEE Trans. Autom. Control.
Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron
2024 J jnl
ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware.
CoRR
Nicolas Baumann, Edoardo Ghignone, Jonas Kühne, Niklas Bastuck, Jonathan Becker, Nadine Imholz, Tobias Kränzlin, Tian Yi Lim, Michael Lötscher, Luca Schwarzenbach, Luca Tognoni, Christian Vogt, Andrea Carron, Michele Magno
2024 J jnl
From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements.
CoRR
Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler
2024 J jnl
Inherently Robust Suboptimal MPC for Autonomous Racing With Anytime Feasible SQP.
IEEE Robotics Autom. Lett.
Logan Numerow, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger
2024 J jnl
Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP.
CoRR
Logan Numerow, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger
2024 J jnl
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control.
CoRR
Amon Lahr, Joshua Näf, Kim Peter Wabersich, Jonathan Frey, Pascal Siehl, Andrea Carron, Moritz Diehl, Melanie N. Zeilinger
2024 J jnl
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute.
CoRR
Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno
2024 — conf
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints.
Robotics: Science and Systems
Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza
2024 — conf
Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot.
CDC
Sabrina Bodmer, Lukas Vogel, Simon Muntwiler, Alexander Hansson, Tobias Bodewig, Jonas Wahlen, Melanie N. Zeilinger, Andrea Carron
2024 J jnl
Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot.
CoRR
Sabrina Bodmer, Lukas Vogel, Simon Muntwiler, Alexander Hansson, Tobias Bodewig, Jonas Wahlen, Melanie N. Zeilinger, Andrea Carron
2024 A conf
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC).
IROS
Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone
2024 J jnl
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC).
CoRR
Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone
2024 J jnl
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction.
CoRR
Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno
2024 J jnl
Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction With Identified Multi-Step Predictors.
IEEE Control. Syst. Lett.
Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler
2024 J jnl
Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction with Identified Multi-step Predictors.
CoRR
Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler
2024 J jnl
Time-Optimal Flight with Safety Constraints and Data-driven Dynamics.
CoRR
Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza
2023 J jnl
Active Learning-based Model Predictive Coverage Control.
CoRR
Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron
2023 J jnl
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation.
IEEE Robotics Autom. Lett.
Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger
2023 A* conf
Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control.
ICRA
Andrea Carron, Sabrina Bodmer, Lukas Vogel, René Zurbrügg, David Helm, Rahel Rickenbach, Simon Muntwiler, Jerome Sieber, Melanie N. Zeilinger
2023 — conf
Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology.
CDC
Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron
2023 J jnl
Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology.
CoRR
Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron
2023 J jnl
Multi-agent Distributed Model Predictive Control with Connectivity Constraint.
CoRR
Andrea Carron, Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger
2023 C conf
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems.
ACC
Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
2023 J jnl
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems.
CoRR
Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
2023 J jnl
Stochastic MPC With Robustness to Bounded Parameteric Uncertainty.
IEEE Trans. Autom. Control.
Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger
2023 J jnl
Zero-order optimization for Gaussian process-based model predictive control.
Eur. J. Control
Amon Lahr, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger
2022 J jnl
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation.
CoRR
Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger
2022 J jnl
Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control.
CoRR
Andrea Carron, Sabrina Bodmer, Lukas Vogel, René Zurbrügg, David Helm, Rahel Rickenbach, Simon Muntwiler, Jerome Sieber, Melanie N. Zeilinger
2022 A conf
Contextual Tuning of Model Predictive Control for Autonomous Racing.
IROS
Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron
2022 J jnl
Probabilistic Model Predictive Safety Certification for Learning-Based Control.
IEEE Trans. Autom. Control.
Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger
2022 J jnl
Stochastic MPC with robustness to bounded parametric uncertainty.
CoRR
Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger
2021 J jnl
A Predictive Safety Filter for Learning-Based Racing Control.
IEEE Robotics Autom. Lett.
Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
2021 J jnl
A predictive safety filter for learning-based racing control.
CoRR
Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
2021 — conf
Bayesian multi-task learning using finite-dimensional models: A comparative study.
CDC
Elena Arcari, Anna Scampicchio, Andrea Carron, Melanie N. Zeilinger
2021 A conf
Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket.
IROS
Lukas Spannagl, Elias Hampp, Andrea Carron, Jerome Sieber, Carlo Alberto Pascucci, Aldo U. Zgraggen, Alexander Domahidi, Melanie N. Zeilinger
2021 J jnl
Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket.
CoRR
Lukas Spannagl, Elias Hampp, Andrea Carron, Jerome Sieber, Carlo Alberto Pascucci, Aldo U. Zgraggen, Alexander Domahidi, Melanie N. Zeilinger
2021 J jnl
Model Learning and Contextual Controller Tuning for Autonomous Racing.
CoRR
Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron
2021 J jnl
Plug-and-Play Distributed Safety Verification for Linear Control Systems With Bounded Uncertainties.
IEEE Trans. Control. Netw. Syst.
Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger
2021 J jnl
Scalable Model Predictive Control for Autonomous Mobility-on-Demand Systems.
IEEE Trans. Control. Syst. Technol.
Andrea Carron, Francesco Seccamonte, Claudio Ruch, Emilio Frazzoli, Melanie N. Zeilinger
2021 — conf
Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation.
ECC
Lukas Hewing, Marcel Menner, Nikolaos Tachatos, Marianne Schmid Daners, Cosima du Pasquier, Thomas S. Lumpe, Kristina Shea, Andrea Carron, Melanie N. Zeilinger
2020 J jnl
Distributed Safe Learning using an Invariance-based Safety Framework.
CoRR
Andrea Carron, Jerome Sieber, Melanie N. Zeilinger
2020 J jnl
Efficient spatio-temporal Gaussian regression via Kalman filtering.
Autom.
Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
2020 J jnl
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations.
CoRR
Elena Arcari, Andrea Carron, Melanie N. Zeilinger
2020 J jnl
Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation.
CoRR
Lukas Hewing, Marcel Menner, Nikolaos Tachatos, Marianne Schmid Daners, Cosima du Pasquier, Thomas S. Lumpe, Kristina Shea, Andrea Carron, Melanie N. Zeilinger
2019 J jnl
Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm.
IEEE Robotics Autom. Lett.
Andrea Carron, Elena Arcari, Martin Wermelinger, Lukas Hewing, Marco Hutter, Melanie N. Zeilinger
2019 J jnl
Distributed Model Predictive Safety Certification for Learning-based Control.
CoRR
Simon Muntwiler, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
2019 J jnl
Probabilistic model predictive safety certification for learning-based control.
CoRR
Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger
2018 — conf
On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems.
ECC
Lukas Hewing, Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger
2017 J jnl
Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering.
CoRR
Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
2017 J jnl
Multi-robots Gaussian estimation and coverage control: From client-server to peer-to-peer architectures.
Autom.
Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
2016 — conf
Hitting time for doubly-weighted graphs with application to robotic surveillance.
ECC
Andrea Carron, Rushabh Patel, Francesco Bullo
2016 — conf
Machine learning meets Kalman Filtering.
CDC
Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
2016 — conf
Multi-robot localization via GPS and relative measurements in the presence of asynchronous and lossy communication.
ECC
Marco Todescato, Andrea Carron, Ruggero Carli, Antonio Franchi, Luca Schenato
2016 J jnl
The Hitting Time of Multiple Random Walks.
SIAM J. Matrix Anal. Appl.
Rushabh Patel, Andrea Carron, Francesco Bullo
2015 — conf
Distributed localization from relative noisy measurements: A robust gradient based approach.
ECC
Marco Todescato, Andrea Carron, Ruggero Carli, Luca Schenato
2015 — conf
Multi-agents adaptive estimation and coverage control using Gaussian regression.
ECC
Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
2014 J jnl
An Asynchronous Consensus-Based Algorithm for Estimation From Noisy Relative Measurements.
IEEE Trans. Control. Netw. Syst.
Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato
2014 J jnl
Multi-agents adaptive estimation and coverage control using Gaussian regression.
CoRR
Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
2013 C conf
Receding Horizon Control of a two-agent system with competitive objectives.
ACC
Andrea Carron, Elisa Franco
2012 — conf
Distributed multi-hop reactive power compensation in smart micro-grids subject to saturation constraints.
CDC
Saverio Bolognani, Andrea Carron, Alberto Di Vittorio, Diego Romeres, Luca Schenato, Sandro Zampieri