Andrea Carron

According to our database, Andrea Carron authored at least 52 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

An MPC framework for efficient navigation of mobile robots in cluttered environments.

Johannes Köhler, Daniel Zhang, Raffaele Soloperto, Andrea Carron, Melanie Nicole Zeilinger

CoRR, September, 2025

Uncertainty-Aware Perception-Based Control for Autonomous Racing.

Jelena Trisovic, Andrea Carron, Melanie N. Zeilinger

CoRR, August, 2025

Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework.

Patrick Benito Eberhard, Johannes Köhler, Oliver Hüsser, Melanie N. Zeilinger, Andrea Carron

CoRR, July, 2025

Performance-Driven Constrained Optimal Auto-Tuner for MPC.

Albert Gassol Puigjaner, Manish Prajapat, Andrea Carron, Andreas Krause, Melanie N. Zeilinger

IEEE Robotics Autom. Lett., May, 2025

Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing.

Hao Ma, Sabrina Bodmer, Andrea Carron, Melanie Nicole Zeilinger, Michael Muehlebach

CoRR, May, 2025

Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing.

Benedict Hildisch, Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Andrea Carron, Michele Magno

CoRR, May, 2025

Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute.

Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno

IEEE Robotics Autom. Lett., February, 2025

Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction.

Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno

IEEE Robotics Autom. Lett., February, 2025

RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms.

Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Jonathan Wang, Lei Xie, Andrea Carron, Michele Magno

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Active Learning-Based Model Predictive Coverage Control.

Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron

IEEE Trans. Autom. Control., September, 2024

Inherently Robust Suboptimal MPC for Autonomous Racing With Anytime Feasible SQP.

Logan Numerow, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger

IEEE Robotics Autom. Lett., July, 2024

Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction With Identified Multi-Step Predictors.

Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler

IEEE Control. Syst. Lett., 2024

L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control.

Amon Lahr, Joshua Näf, Kim Peter Wabersich, Jonathan Frey, Pascal Siehl, Andrea Carron, Moritz Diehl, Melanie N. Zeilinger

CoRR, 2024

From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements.

Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler

CoRR, 2024

Time-Optimal Flight with Safety Constraints and Data-driven Dynamics.

Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza

CoRR, 2024

ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware.

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

CoRR, 2024

MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints.

Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza

Proceedings of the Robotics: Science and Systems XX, 2024

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC).

Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot.

Sabrina Bodmer, Lukas Vogel, Simon Muntwiler, Alexander Hansson, Tobias Bodewig, Jonas Wahlen, Melanie N. Zeilinger, Andrea Carron

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Stochastic MPC With Robustness to Bounded Parameteric Uncertainty.

Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger

IEEE Trans. Autom. Control., December, 2023

Zero-order optimization for Gaussian process-based model predictive control.

Amon Lahr, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger

Eur. J. Control, November, 2023

Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation.

Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger

IEEE Robotics Autom. Lett., June, 2023

Multi-agent Distributed Model Predictive Control with Connectivity Constraint.

Andrea Carron, Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger

CoRR, 2023

Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control.

Andrea Carron, Sabrina Bodmer, Lukas Vogel, René Zurbrügg, David Helm, Rahel Rickenbach, Simon Muntwiler, Jerome Sieber, Melanie N. Zeilinger

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology.

Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems.

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

Proceedings of the American Control Conference, 2023

2022

Probabilistic Model Predictive Safety Certification for Learning-Based Control.

Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger

IEEE Trans. Autom. Control., 2022

Stochastic MPC with robustness to bounded parametric uncertainty.

Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger

CoRR, 2022

Contextual Tuning of Model Predictive Control for Autonomous Racing.

Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Scalable Model Predictive Control for Autonomous Mobility-on-Demand Systems.

Andrea Carron, Francesco Seccamonte, Claudio Ruch, Emilio Frazzoli, Melanie N. Zeilinger

IEEE Trans. Control. Syst. Technol., 2021

Plug-and-Play Distributed Safety Verification for Linear Control Systems With Bounded Uncertainties.

Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger

IEEE Trans. Control. Netw. Syst., 2021

A Predictive Safety Filter for Learning-Based Racing Control.

Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger

IEEE Robotics Autom. Lett., 2021

Model Learning and Contextual Controller Tuning for Autonomous Racing.

Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron

CoRR, 2021

Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket.

Lukas Spannagl, Elias Hampp, Andrea Carron, Jerome Sieber, Carlo Alberto Pascucci, Aldo U. Zgraggen, Alexander Domahidi, Melanie N. Zeilinger

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation.

Lukas Hewing, Marcel Menner, Nikolaos Tachatos, Marianne Schmid Daners, Cosima du Pasquier, Thomas S. Lumpe, Kristina Shea, Andrea Carron, Melanie N. Zeilinger

Proceedings of the 2021 European Control Conference, 2021

Bayesian multi-task learning using finite-dimensional models: A comparative study.

Elena Arcari, Anna Scampicchio, Andrea Carron, Melanie N. Zeilinger

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations.

Elena Arcari, Andrea Carron, Melanie N. Zeilinger

CoRR, 2020

Distributed Safe Learning using an Invariance-based Safety Framework.

Andrea Carron, Jerome Sieber, Melanie N. Zeilinger

CoRR, 2020

Efficient spatio-temporal Gaussian regression via Kalman filtering.

Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato

Autom., 2020

2019

Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm.

Andrea Carron, Elena Arcari, Martin Wermelinger, Lukas Hewing, Marco Hutter, Melanie N. Zeilinger

IEEE Robotics Autom. Lett., 2019

Distributed Model Predictive Safety Certification for Learning-based Control.

Simon Muntwiler, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger

CoRR, 2019

2018

On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems.

Lukas Hewing, Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger

Proceedings of the 16th European Control Conference, 2018

2017

Multi-robots Gaussian estimation and coverage control: From client-server to peer-to-peer architectures.

Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato

Autom., 2017

2016

The Hitting Time of Multiple Random Walks.

Rushabh Patel, Andrea Carron, Francesco Bullo

SIAM J. Matrix Anal. Appl., 2016

Multi-robot localization via GPS and relative measurements in the presence of asynchronous and lossy communication.

Marco Todescato, Andrea Carron, Ruggero Carli, Antonio Franchi, Luca Schenato

Proceedings of the 15th European Control Conference, 2016

Hitting time for doubly-weighted graphs with application to robotic surveillance.

Andrea Carron, Rushabh Patel, Francesco Bullo

Proceedings of the 15th European Control Conference, 2016

Machine learning meets Kalman Filtering.

Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Distributed localization from relative noisy measurements: A robust gradient based approach.

Marco Todescato, Andrea Carron, Ruggero Carli, Luca Schenato

Proceedings of the 14th European Control Conference, 2015

Multi-agents adaptive estimation and coverage control using Gaussian regression.

Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto

Proceedings of the 14th European Control Conference, 2015

2014

An Asynchronous Consensus-Based Algorithm for Estimation From Noisy Relative Measurements.

Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato

IEEE Trans. Control. Netw. Syst., 2014

2013

Receding Horizon Control of a two-agent system with competitive objectives.

Andrea Carron, Elisa Franco

Proceedings of the American Control Conference, 2013

2012

Distributed multi-hop reactive power compensation in smart micro-grids subject to saturation constraints.

Saverio Bolognani, Andrea Carron, Alberto Di Vittorio, Diego Romeres, Luca Schenato, Sandro Zampieri

Proceedings of the 51th IEEE Conference on Decision and Control, 2012