Andrea Carron

Orcid: 0000-0002-3219-4132

According to our database1, Andrea Carron authored at least 37 papers between 2012 and 2024.

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Bibliography

2024
Time-Optimal Flight with Safety Constraints and Data-driven Dynamics.
CoRR, 2024

ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware.
CoRR, 2024

Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP.
CoRR, 2024

2023
Stochastic MPC With Robustness to Bounded Parameteric Uncertainty.
IEEE Trans. Autom. Control., December, 2023

Zero-order optimization for Gaussian process-based model predictive control.
Eur. J. Control, November, 2023

Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation.
IEEE Robotics Autom. Lett., June, 2023

Active Learning-based Model Predictive Coverage Control.
CoRR, 2023

Multi-agent Distributed Model Predictive Control with Connectivity Constraint.
CoRR, 2023

Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control.
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.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems.
Proceedings of the American Control Conference, 2023

2022
Probabilistic Model Predictive Safety Certification for Learning-Based Control.
IEEE Trans. Autom. Control., 2022

Stochastic MPC with robustness to bounded parametric uncertainty.
CoRR, 2022

Contextual Tuning of Model Predictive Control for Autonomous Racing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Scalable Model Predictive Control for Autonomous Mobility-on-Demand Systems.
IEEE Trans. Control. Syst. Technol., 2021

Plug-and-Play Distributed Safety Verification for Linear Control Systems With Bounded Uncertainties.
IEEE Trans. Control. Netw. Syst., 2021

A Predictive Safety Filter for Learning-Based Racing Control.
IEEE Robotics Autom. Lett., 2021

Model Learning and Contextual Controller Tuning for Autonomous Racing.
CoRR, 2021

Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation.
Proceedings of the 2021 European Control Conference, 2021

Bayesian multi-task learning using finite-dimensional models: A comparative study.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations.
CoRR, 2020

Distributed Safe Learning using an Invariance-based Safety Framework.
CoRR, 2020

Efficient spatio-temporal Gaussian regression via Kalman filtering.
Autom., 2020

2019
Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm.
IEEE Robotics Autom. Lett., 2019

Distributed Model Predictive Safety Certification for Learning-based Control.
CoRR, 2019

2018
On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems.
Proceedings of the 16th European Control Conference, 2018

2017
Multi-robots Gaussian estimation and coverage control: From client-server to peer-to-peer architectures.
Autom., 2017

2016
The Hitting Time of Multiple Random Walks.
SIAM J. Matrix Anal. Appl., 2016

Multi-robot localization via GPS and relative measurements in the presence of asynchronous and lossy communication.
Proceedings of the 15th European Control Conference, 2016

Hitting time for doubly-weighted graphs with application to robotic surveillance.
Proceedings of the 15th European Control Conference, 2016

Machine learning meets Kalman Filtering.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Distributed localization from relative noisy measurements: A robust gradient based approach.
Proceedings of the 14th European Control Conference, 2015

Multi-agents adaptive estimation and coverage control using Gaussian regression.
Proceedings of the 14th European Control Conference, 2015

2014
An Asynchronous Consensus-Based Algorithm for Estimation From Noisy Relative Measurements.
IEEE Trans. Control. Netw. Syst., 2014

2013
Receding Horizon Control of a two-agent system with competitive objectives.
Proceedings of the American Control Conference, 2013

2012
Distributed multi-hop reactive power compensation in smart micro-grids subject to saturation constraints.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012


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