Distributed optimization provides a framework for deriving distributed algorithms for a variety
of multi-robot problems. This tutorial constitutes the first part of a two-part series on …

Distributed optimization consists of multiple computation nodes working together to minimize
a common objective function through local computation iterations and network-constrained …

Although the field of distributed optimization is well developed, relevant literature focused on
the application of distributed optimization to multi-robot problems is limited. This survey …

Strategies to reduce slippage and disturbing wheel-terrain interactions are essential to
improve navigation and motion control of field robots. Thus, this work proposes an integral …

Over the last decades, researchers have studied the Multi-Objective Optimization (MOO)
problem for Multi-Agent Systems (MASs). However, most of them consider the problem …

In this article, we present a distributed algorithm to solve a class of multirobot task
assignment problems. We formulate task assignment as a mathematical optimization and …

In this article, we propose a distributed adversarial decision-making approach for multiagent
system (MAS), which is supposed to detect a team of intelligent targets. The MAS is …

A remote team of robots may be teleoperated by multiple users to explore unstructured
environments and to tackle unforeseen emergencies therein. During a large-scale …

Abstract Task allocation concerning Unmanned Aerial Vehicle (UAV) swarms, characterized
by behavioral self-organization and autonomic decision-making, is a popular term in civil …

Task scheduling, path planning, and control are all problems in robotics that involve
choosing the best action to take given the current state of the system. For task scheduling …