Search Results for author: Marco Todescato

Found 8 papers, 3 papers with code

Modeling Resilience of Collaborative AI Systems

no code implementations23 Jan 2024 Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo

We tested our framework on a real-world case study of a robot collaborating online with the human, when the system is experiencing a disruptive event.

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

1 code implementation8 Nov 2023 Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo

A Collaborative Artificial Intelligence System (CAIS) works with humans in a shared environment to achieve a common goal.

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

1 code implementation8 Nov 2023 Diaeddin Rimawi, Antonio Lotta, Marco Todescato, Barbara Russo

This paper introduces a new methodology to automatically support the decision-making process in CAIS when the system experiences performance degradation after a disruptive event.

Decision Making

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

no code implementations16 Feb 2021 Andras Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Buerger

In this paper we show that given a 3D model of an object, we can generate its descriptor space image, which allows for supervised training of DONs.

Object

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

no code implementations24 Aug 2020 Leonel Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Büerger

Furthermore, to accomplish complex manipulation tasks, robots should be able to sequence several skills and adapt them to changing situations.

Smart Grid State Estimation with PMUs Time Synchronization Errors

1 code implementation26 Nov 2019 Marco Todescato, Ruggero Carli, Luca Schenato, Grazia Barchi

We consider the problem of PMU-based state estimation combining information coming from ubiquitous power demand time series and only a limited number of PMUs.

Optimization and Control Systems and Control Systems and Control

Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering

no code implementations3 May 2017 Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato

In this work we study the non-parametric reconstruction of spatio-temporal dynamical Gaussian processes (GPs) via GP regression from sparse and noisy data.

Gaussian Processes regression

Multi-agents adaptive estimation and coverage control using Gaussian regression

no code implementations22 Jul 2014 Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto

We consider a scenario where the aim of a group of agents is to perform the optimal coverage of a region according to a sensory function.

regression

Cannot find the paper you are looking for? You can Submit a new open access paper.