Marco Todescato

37 papers A* 2A 1B 1C 2Journal 18Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Application of Bayesian Optimization in Gripper Design for Effective Grasping.
IEEE Access
Marco Todescato, Dominik T. Matt, Andrea Giusti
2025 J jnl
GResilience: Decision-Making Policies for Trading Off Greenness and Resilience in Online Collaborative AI Systems.
IEEE Access
Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo
2025 — conf
Reducing the Sim2Real gap for vacuum grasping in Isaac Sim.
SIMPAR
Isabella Soraruf, Marco Todescato, Dominik T. Matt, Andrea Giusti
2024 B conf
Modeling Resilience of Collaborative AI Systems.
CAIN
Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo
2024 J jnl
Modeling Resilience of Collaborative AI Systems.
CoRR
Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo
2023 — conf
CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems.
PROFES (1)
Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo
2023 J jnl
CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems.
CoRR
Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo
2023 C conf
GResilience: Trading Off Between the Greenness and the Resilience of Collaborative AI Systems.
ICTSS
Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo
2023 J jnl
GResilience: Trading Off Between the Greenness and the Resilience of Collaborative AI Systems.
CoRR
Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo
2023 C conf
Gripper Design Optimization for Effective Grasping of Diverse Object Geometries.
CoDIT
Marco Todescato, Andrea Giusti, Dominik T. Matt
2021 J jnl
Asynchronous Distributed Optimization Over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence.
IEEE Trans. Autom. Control.
Nicola Bastianello, Ruggero Carli, Luca Schenato, Marco Todescato
2021 A* conf
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications.
AAAI
Andras Gabor Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger
2021 J jnl
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications.
CoRR
Andras G. Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger
2020 J jnl
Efficient spatio-temporal Gaussian regression via Kalman filtering.
Autom.
Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
2020 A conf
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks.
IROS
Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger
2020 J jnl
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks.
CoRR
Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger
2020 J jnl
Partition-based multi-agent optimization in the presence of lossy and asynchronous communication.
Autom.
Marco Todescato, Nicoletta Bof, Guido Cavraro, Ruggero Carli, Luca Schenato
2019 A* conf
Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems.
AAAI
Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo
2019 J jnl
Smart Grid State Estimation with PMUs Time Synchronization Errors.
CoRR
Marco Todescato, Ruggero Carli, Luca Schenato, Grazia Barchi
2018 — conf
A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks.
CDC
Nicola Bastianello, Ruggero Carli, Luca Schenato, Marco Todescato
2018 — conf
Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach.
ECC
Nicola Bastianello, Marco Todescato, Ruggero Carli, Luca Schenato
2018 J jnl
Online Distributed Voltage Stress Minimization by Optimal Feedback Reactive Power Control.
IEEE Trans. Control. Netw. Syst.
Marco Todescato, John W. Simpson-Porco, Florian Dörfler, Ruggero Carli, Francesco Bullo
2017 — conf
A distributed dual-ascent approach for power control of wireless power transfer networks.
CDC
Kasim Sinan Yildirim, Ruggero Carli, Luca Schenato, Marco Todescato
2017 — conf
DC power flow feasibility: Positive vs. negative loads.
CDC
Marco Todescato
2017 J jnl
Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering.
CoRR
Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
2017 J jnl
Generalized gradient optimization over lossy networks for partition-based estimation.
CoRR
Marco Todescato, Nicoletta Bof, Guido Cavraro, Ruggero Carli, Luca Schenato
2017 J jnl
Multi-robots Gaussian estimation and coverage control: From client-server to peer-to-peer architectures.
Autom.
Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
2017 — conf
PMUs clock de-synchronization compensation for smart grid state estimation.
CDC
Marco Todescato, Ruggero Carli, Luca Schenato, Grazia Barchi
2016 — conf
Machine learning meets Kalman Filtering.
CDC
Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
2016 — conf
Multi-robot localization via GPS and relative measurements in the presence of asynchronous and lossy communication.
ECC
Marco Todescato, Andrea Carron, Ruggero Carli, Antonio Franchi, Luca Schenato
2016 J jnl
Voltage stress minimization by optimal reactive power control.
CoRR
Marco Todescato, John W. Simpson-Porco, Florian Dörfler, Ruggero Carli, Francesco Bullo
2015 — conf
Distributed localization from relative noisy measurements: A robust gradient based approach.
ECC
Marco Todescato, Andrea Carron, Ruggero Carli, Luca Schenato
2015 — conf
Multi-agents adaptive estimation and coverage control using Gaussian regression.
ECC
Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
2015 — conf
Optimal voltage support and Stress Minimization in power networks.
CDC
Marco Todescato, John W. Simpson-Porco, Florian Dörfler, Ruggero Carli, Francesco Bullo
2014 J jnl
An Asynchronous Consensus-Based Algorithm for Estimation From Noisy Relative Measurements.
IEEE Trans. Control. Netw. Syst.
Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato
2014 J jnl
Multi-agents adaptive estimation and coverage control using Gaussian regression.
CoRR
Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
2014 — conf
State estimation in power distribution networks with poorly synchronized measurements.
CDC
Saverio Bolognani, Ruggero Carli, Marco Todescato