activity
20102021
most citedNewton-Raphson Consensus under asynchronous and lossy communications for peer-to-peer networks

12 citations · 14 across the 3 of their papers we have counts for

collaborators

9 papers

cs.RO2021

Model-based Policy Search for Partially Measurable Systems

Fabio Amadio, Alberto Dalla Libera, Ruggero Carli +2

In this paper, we propose a Model-Based Reinforcement Learning (MBRL) algorithm for Partially Measurable Systems (PMS), i.e., systems where the state can not be directly measured,…

math.OC2019

Smart Grid State Estimation with PMUs Time Synchronization Errors

Marco Todescato, Ruggero Carli, Luca Schenato +1

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. Conversely to recent…

cs.RO2019

Nonlinear Model Predictive Control with Enhanced Actuator Model for Multi-Rotor Aerial Vehicles with Generic Designs

Davide Bicego, Jacopo Mazzetto, Ruggero Carli +2

In this paper, we propose, discuss, and validate an online Nonlinear Model Predictive Control (NMPC) method for multi-rotor aerial systems with arbitrarily positioned and oriented…

cs.RO2019

Proprioceptive Robot Collision Detection through Gaussian Process Regression

Dalla Libera Alberto, Tosello Elisa, Pillonetto Gianluigi +2

This paper proposes a proprioceptive collision detection algorithm based on Gaussian Regression. Compared to sensor-based collision detection and other proprioceptive algorithms, t…

cs.RO2019

Robot kinematic structure classification from time series of visual data

Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi +2

In this paper we present a novel algorithm to solve the robot kinematic structure identification problem. Given a time series of data, typically obtained processing a set of visual…

math.OC2019

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

Nicola Bastianello, Ruggero Carli, Luca Schenato +1

In this work we focus on the problem of minimizing the sum of convex cost functions in a distributed fashion over a peer-to-peer network. In particular, we are interested in the ca…