research
∙
09/08/2023
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions
Several interesting problems in multi-robot systems can be cast in the f...
share
research
∙
04/27/2023
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance
In this paper, we propose a distributed algorithm to control a team of c...
research
∙
02/01/2023
CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2
This paper introduces CrazyChoir, a modular Python framework based on th...
research
∙
10/26/2022
Tracking-based distributed equilibrium seeking for aggregative games
We propose fully-distributed algorithms for Nash equilibrium seeking in ...
research
∙
03/04/2022
Triggered Gradient Tracking for Asynchronous Distributed Optimization
This paper proposes Asynchronous Triggered Gradient Tracking, i.e., a di...
research
∙
04/06/2021
Multi-Robot Pickup and Delivery via Distributed Resource Allocation
In this paper, we consider a large-scale instance of the classical Picku...
research
∙
10/26/2020
ChoiRbot: A ROS 2 Toolbox for Cooperative Robotics
In this paper, we introduce ChoiRbot, a toolbox for distributed cooperat...
research
∙
09/03/2020
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum
This paper deals with a network of computing agents aiming to solve an o...
research
∙
11/15/2019
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization
In this paper we consider a recently developed distributed optimization ...
research
∙
11/06/2019
DISROPT: a Python Framework for Distributed Optimization
In this paper we introduce DISROPT, a Python package for distributed opt...
research
∙
07/09/2019
Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming
In this paper, we consider a network of processors aiming at cooperative...
research
∙
05/31/2019
Distributed Submodular Minimization via Block-Wise Updates and Communications
In this paper we deal with a network of computing agents with local proc...
research
∙
12/14/2018
Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach
Submodular optimization is a special class of combinatorial optimization...
research
∙
11/08/2018
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming
In this paper we deal with a network of agents seeking to solve in a dis...
research
∙
08/22/2018
Distributed Big-Data Optimization via Block-wise Gradient Tracking
We study distributed big-data nonconvex optimization in multi-agent netw...
research
∙
08/22/2018
Distributed Big-Data Optimization via Block-Iterative Gradient Tracking
We study distributed big-data nonconvex optimization in multi-agent netw...
research
∙
06/04/2018
Distributed Learning from Interactions in Social Networks
We consider a network scenario in which agents can evaluate each other a...
research
∙
05/27/2018
Distributed Big-Data Optimization via Block Communications
We study distributed multi-agent large-scale optimization problems, wher...
research
∙
05/02/2018
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging
In this paper, we study distributed big-data nonconvex optimization in m...
research
∙
11/25/2017
Constraint Coupled Distributed Optimization: a Relaxation and Duality Approach
In this paper we consider a distributed optimization scenario in which a...
research
∙
03/24/2017