101 citations · 466 across the 65 of their papers we have counts for
5 papers · 1 filter
ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks
Guido Carnevale, Nicola Bastianello, Giuseppe Notarstefano +1
In this paper, we propose a novel distributed algorithm for consensus optimization over networks and a robust extension tailored to deal with asynchronous agents and packet losses.…
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions
Andrea Testa, Guido Carnevale, Giuseppe Notarstefano
Several interesting problems in multi-robot systems can be cast in the framework of distributed optimization. Examples include multi-robot task allocation, vehicle routing, target…
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance
Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni +2
In this paper, we propose a distributed algorithm to control a team of cooperating robots aiming to protect a target from a set of intruders. Specifically, we model the strategy of…
Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics
Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano
Distributed aggregative optimization is a recently emerged framework in which the agents of a network want to minimize the sum of local objective functions, each one depending on t…
CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2
Lorenzo Pichierri, Andrea Testa, Giuseppe Notarstefano
This paper introduces CrazyChoir, a modular Python framework based on the Robot Operating System (ROS) 2. The toolbox provides a comprehensive set of functionalities to simulate an…