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 …

In this letter, we introduce ChoiRbot, a toolbox for distributed cooperative robotics based on
the novel Robot Operating System (ROS) 2. ChoiRbot provides a fully-functional toolset to …

We present a general graph-based modeling abstraction for optimization that we call an
OptiGraph. Under this abstraction, any optimization problem is treated as a hierarchical …

The modular open-source framework GRAMPC-D for model predictive control of distributed
systems is presented in this paper. The modular concept allows to solve optimal control …

This letter introduces CrazyChoir, a modular Python framework based on the Robot
Operating System (ROS) 2. The toolbox provides a comprehensive set of functionalities to …

This article proposes a fully distributed energy management algorithm for dc microgrids,
resilient to different faults. Specifically, we employ distributed model-predictive control to …

In this article, we consider a large-scale instance of the classical pickup-and-delivery vehicle
routing problem that must be solved by a network of mobile cooperating robots. Robots must …

The paper addresses large-scale, convex optimization problems that need to be solved in a
distributed way by agents communicating according to a random time-varying graph …

We present a distributed optimization algorithm for solving online personalized optimization
problems over a network of computing and communicating nodes, each of which linked to a …

The main goal of an information retrieval system (IR) is ranking. Several methodologies
were adopted with the integration of computing and advanced applied systems. However …