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 001; Sandro Zampieri (CDC, 2012)

Receding Horizon Control of a two-agent system with competitive objectives. - Andrea Carron; Elisa Franco (ACC, 2013)

An Asynchronous Consensus-Based Algorithm for Estimation From Noisy Relative Measurements. - Andrea Carron; Marco Todescato; Ruggero Carli; Luca Schenato 001 (IEEE Trans. Control. Netw. Syst., 2014)

Multi-agents adaptive estimation and coverage control using Gaussian regression. - Andrea Carron; Marco Todescato; Ruggero Carli; Luca Schenato 001; Gianluigi Pillonetto (ECC, 2015)

Distributed localization from relative noisy measurements: A robust gradient based approach. - Marco Todescato; Andrea Carron; Ruggero Carli; Luca Schenato 001 (ECC, 2015)

Machine learning meets Kalman Filtering. - Andrea Carron; Marco Todescato; Ruggero Carli; Luca Schenato 001; Gianluigi Pillonetto (CDC, 2016)

Hitting time for doubly-weighted graphs with application to robotic surveillance. - Andrea Carron; Rushabh Patel; Francesco Bullo (ECC, 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 001 (ECC, 2016)

The Hitting Time of Multiple Random Walks. - Rushabh Patel; Andrea Carron; Francesco Bullo (SIAM J. Matrix Anal. Appl., 2016)

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 001 (Autom., 2017)

On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems. - Lukas Hewing; Andrea Carron; Kim Peter Wabersich; Melanie N. Zeilinger (ECC, 2018)

Distributed Model Predictive Safety Certification for Learning-based Control. - Simon Muntwiler; Kim Peter Wabersich; Andrea Carron; Melanie N. Zeilinger (CoRR, 2019)

Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm. - Andrea Carron; Elena Arcari; Martin Wermelinger; Lukas Hewing; Marco Hutter 001; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2019)

Efficient spatio-temporal Gaussian regression via Kalman filtering. - Marco Todescato; Andrea Carron; Ruggero Carli; Gianluigi Pillonetto; Luca Schenato 001 (Autom., 2020)

Distributed Safe Learning using an Invariance-based Safety Framework. - Andrea Carron; Jerome Sieber; Melanie N. Zeilinger (CoRR, 2020)

Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations. - Elena Arcari; Andrea Carron; Melanie N. Zeilinger (CoRR, 2020)

Bayesian multi-task learning using finite-dimensional models: A comparative study. - Elena Arcari; Anna Scampicchio; Andrea Carron; Melanie N. Zeilinger (CDC, 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 (ECC, 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 (IROS, 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)

A Predictive Safety Filter for Learning-Based Racing Control. - Ben Tearle; Kim Peter Wabersich; Andrea Carron; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 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)

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)

Contextual Tuning of Model Predictive Control for Autonomous Racing. - Lukas P. Fröhlich; Christian Küttel; Elena Arcari; Lukas Hewing; Melanie N. Zeilinger; Andrea Carron (IROS, 2022)

Stochastic MPC with robustness to bounded parametric uncertainty. - Elena Arcari; Andrea Iannelli; Andrea Carron; Melanie N. Zeilinger (CoRR, 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)

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. - Truong X. Nghiem; Ján Drgona; Colin N. Jones; Zoltán Nagy 002; Roland Schwan; Biswadip Dey; Ankush Chakrabarty; Stefano Di Cairano; Joel A. Paulson; Andrea Carron; Melanie N. Zeilinger; Wenceslao Shaw-Cortez; et al. (ACC, 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 (CDC, 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 003; René Zurbrügg; David Helm; Rahel Rickenbach; Simon Muntwiler; Jerome Sieber; Melanie N. Zeilinger (ICRA, 2023)

Multi-agent Distributed Model Predictive Control with Connectivity Constraint. - Andrea Carron; Danilo Saccani; Lorenzo Fagiano; Melanie N. Zeilinger (CoRR, 2023)

Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation. - Elena Arcari; Maria Vittoria Minniti; Anna Scampicchio; Andrea Carron; Farbod Farshidian; Marco Hutter 001; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2023)

Zero-order optimization for Gaussian process-based model predictive control. - Amon Lahr; Andrea Zanelli; Andrea Carron; Melanie N. Zeilinger (Eur. J. Control, 2023)

Stochastic MPC With Robustness to Bounded Parameteric Uncertainty. - Elena Arcari; Andrea Iannelli; Andrea Carron; Melanie N. Zeilinger (IEEE Trans. Autom. Control., 2023)

Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot. - Sabrina Bodmer; Lukas Vogel 003; Simon Muntwiler; Alexander Hansson; Tobias Bodewig; Jonas Wahlen; Melanie N. Zeilinger; Andrea Carron (CDC, 2024)

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). - Luis A. Pabon; Johannes Köhler 001; John Irvin Alora; Patrick Benito Eberhard; Andrea Carron; Melanie N. Zeilinger; Marco Pavone 001 (IROS, 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 001 (Robotics: Science and Systems, 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 002; et al. (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 001 (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 001 (CoRR, 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)

Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction With Identified Multi-Step Predictors. - Haldun Balim; Andrea Carron; Melanie N. Zeilinger; Johannes Köhler 001 (IEEE Control. Syst. Lett., 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., 2024)

Active Learning-Based Model Predictive Coverage Control. - Rahel Rickenbach; Johannes Köhler 001; Anna Scampicchio; Melanie N. Zeilinger; Andrea Carron (IEEE Trans. Autom. Control., 2024)

RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms. - Edoardo Ghignone; Nicolas Baumann; Cheng Hu; Jonathan Wang; Lei Xie 007; Andrea Carron; Michele Magno (CoRR, 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 007; Michele Magno (IEEE Robotics Autom. Lett., 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 007; Andrea Carron; Michele Magno; Matteo Corno (IEEE Robotics Autom. Lett., 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, 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, 2025)

Performance-Driven Constrained Optimal Auto-Tuner for MPC. - Albert Gassol Puigjaner; Manish Prajapat; Andrea Carron; Andreas Krause 001; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2025)

Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework. - Patrick Benito Eberhard; Johannes Köhler 001; Oliver Hüsser; Melanie N. Zeilinger; Andrea Carron (CoRR, 2025)

Uncertainty-Aware Perception-Based Control for Autonomous Racing. - Jelena Trisovic; Andrea Carron; Melanie N. Zeilinger (CoRR, 2025)