J Zhang, J Sha, G Han, J Liu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Escorting a moving object in a subsea environment with cooperative autonomous underwater vehicles (AUVs) is a typical subject in Underwater Internet of Things (UIoT) …
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 …
O Shorinwa, T Halsted, J Yu… - IEEE Robotics & …, 2024 - ieeexplore.ieee.org
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 …
This paper focuses on the interchange and generation scheduling problem of multi-area power systems, where decentralized decision procedure is preferred and the uncertainties …
A Camisa, A Testa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …
This article deals with a distributed Mixed-Integer Linear Programming (MILP) setup arising in several control applications. Agents of a network aim to minimize the sum of local linear …
UAV swarms have attracted great attention, and are expected to be used in scenarios, such as search and rescue, that require many urgent jobs to be completed in a minimum time by …
J Li, R Chen, C Wang, Y Chen, Y Huang… - Autonomous Agents and …, 2023 - Springer
Multi-task distributed scheduling (MTDS) remains a challenging problem for multi-agent systems used for uncertain and dynamic real-world tasks such as search-and-rescue. The …
Distributed task scheduling is an ongoing concern in the field of multi-vehicles, especially in recent years; UAV swarm performing complex tasks endows it with new characteristics, such …