State estimation in power distribution networks with poorly synchronized measurements. - Saverio Bolognani; Ruggero Carli; Marco Todescato (CDC, 2014)

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)

Optimal voltage support and Stress Minimization in power networks. - Marco Todescato; John W. Simpson-Porco; Florian Dörfler; Ruggero Carli; Francesco Bullo (CDC, 2015)

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)

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)

Voltage stress minimization by optimal reactive power control. - Marco Todescato; John W. Simpson-Porco; Florian Dörfler; Ruggero Carli; Francesco Bullo (CoRR, 2016)

DC power flow feasibility: Positive vs. negative loads. - Marco Todescato (CDC, 2017)

PMUs clock de-synchronization compensation for smart grid state estimation. - Marco Todescato; Ruggero Carli; Luca Schenato 001; Grazia Barchi (CDC, 2017)

A distributed dual-ascent approach for power control of wireless power transfer networks. - Kasim Sinan Yildirim; Ruggero Carli; Luca Schenato 001; Marco Todescato (CDC, 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 001 (Autom., 2017)

Generalized gradient optimization over lossy networks for partition-based estimation. - Marco Todescato; Nicoletta Bof; Guido Cavraro; Ruggero Carli; Luca Schenato 001 (CoRR, 2017)

A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks. - Nicola Bastianello; Ruggero Carli; Luca Schenato 001; Marco Todescato (CDC, 2018)

Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach. - Nicola Bastianello; Marco Todescato; Ruggero Carli; Luca Schenato 001 (ECC, 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)

Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems. - Markus Spies; Marco Todescato; Hannes Becker; Patrick Kesper; Nicolai Waniek; Meng Guo 002 (AAAI, 2019)

Smart Grid State Estimation with PMUs Time Synchronization Errors. - Marco Todescato; Ruggero Carli; Luca Schenato 001; Grazia Barchi (CoRR, 2019)

Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks. - Leonel Dario Rozo; Meng Guo 002; Andras G. Kupcsik; Marco Todescato; Philipp Schillinger; Markus Giftthaler; Matthias Ochs; Markus Spies; Nicolai Waniek; Patrick Kesper; Mathias Bürger (IROS, 2020)

Partition-based multi-agent optimization in the presence of lossy and asynchronous communication. - Marco Todescato; Nicoletta Bof; Guido Cavraro; Ruggero Carli; Luca Schenato 001 (Autom., 2020)

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

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 (AAAI, 2021)

Asynchronous Distributed Optimization Over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence. - Nicola Bastianello; Ruggero Carli; Luca Schenato 001; Marco Todescato (IEEE Trans. Autom. Control., 2021)

Gripper Design Optimization for Effective Grasping of Diverse Object Geometries. - Marco Todescato; Andrea Giusti 004; Dominik T. Matt (CoDIT, 2023)

CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems. - Diaeddin Rimawi; Antonio Liotta; Marco Todescato; Barbara Russo (PROFES (1), 2023)

GResilience: Trading Off Between the Greenness and the Resilience of Collaborative AI Systems. - Diaeddin Rimawi; Antonio Liotta; Marco Todescato; Barbara Russo (ICTSS, 2023)

Modeling Resilience of Collaborative AI Systems. - Diaeddin Rimawi; Antonio Liotta; Marco Todescato; Barbara Russo (CAIN, 2024)

Reducing the Sim2Real gap for vacuum grasping in Isaac Sim. - Isabella Soraruf; Marco Todescato; Dominik T. Matt; Andrea Giusti 004 (SIMPAR, 2025)

GResilience: Decision-Making Policies for Trading Off Greenness and Resilience in Online Collaborative AI Systems. - Diaeddin Rimawi; Antonio Liotta; Marco Todescato; Barbara Russo (IEEE Access, 2025)

Application of Bayesian Optimization in Gripper Design for Effective Grasping. - Marco Todescato; Dominik T. Matt; Andrea Giusti 004 (IEEE Access, 2025)