Marco Todescato

According to our database, Marco Todescato authored at least 27 papers between 2014 and 2024.

Collaborative distances:

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

2024

Modeling Resilience of Collaborative AI Systems.

Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo

CoRR, 2024

2023

GResilience: Trading Off Between the Greenness and the Resilience of Collaborative AI Systems.

Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo

Proceedings of the Testing Software and Systems, 2023

CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems.

Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo

Proceedings of the Product-Focused Software Process Improvement, 2023

Gripper Design Optimization for Effective Grasping of Diverse Object Geometries.

Marco Todescato, Andrea Giusti, Dominik T. Matt

Proceedings of the 9th International Conference on Control, 2023

2021

Asynchronous Distributed Optimization Over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence.

Nicola Bastianello, Ruggero Carli, Luca Schenato, Marco Todescato

IEEE Trans. Autom. Control., 2021

Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications.

Andras Gabor Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Efficient spatio-temporal Gaussian regression via Kalman filtering.

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

Autom., 2020

Partition-based multi-agent optimization in the presence of lossy and asynchronous communication.

Marco Todescato, Nicoletta Bof, Guido Cavraro, Ruggero Carli, Luca Schenato

Autom., 2020

Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks.

Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Smart Grid State Estimation with PMUs Time Synchronization Errors.

Marco Todescato, Ruggero Carli, Luca Schenato, Grazia Barchi

CoRR, 2019

Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems.

Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Online Distributed Voltage Stress Minimization by Optimal Feedback Reactive Power Control.

Marco Todescato, John W. Simpson-Porco, Florian Dörfler, Ruggero Carli, Francesco Bullo

IEEE Trans. Control. Netw. Syst., 2018

Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach.

Nicola Bastianello, Marco Todescato, Ruggero Carli, Luca Schenato

Proceedings of the 16th European Control Conference, 2018

A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks.

Nicola Bastianello, Ruggero Carli, Luca Schenato, Marco Todescato

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Generalized gradient optimization over lossy networks for partition-based estimation.

Marco Todescato, Nicoletta Bof, Guido Cavraro, Ruggero Carli, Luca Schenato

CoRR, 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

A distributed dual-ascent approach for power control of wireless power transfer networks.

Kasim Sinan Yildirim, Ruggero Carli, Luca Schenato, Marco Todescato

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

PMUs clock de-synchronization compensation for smart grid state estimation.

Marco Todescato, Ruggero Carli, Luca Schenato, Grazia Barchi

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

DC power flow feasibility: Positive vs. negative loads.

Marco Todescato

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Voltage stress minimization by optimal reactive power control.

Marco Todescato, John W. Simpson-Porco, Florian Dörfler, Ruggero Carli, Francesco Bullo

CoRR, 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

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

Optimal voltage support and Stress Minimization in power networks.

Marco Todescato, John W. Simpson-Porco, Florian Dörfler, Ruggero Carli, Francesco Bullo

Proceedings of the 54th IEEE Conference on Decision and Control, 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

State estimation in power distribution networks with poorly synchronized measurements.

Saverio Bolognani, Ruggero Carli, Marco Todescato

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014