Robust planning for persistent surveillance with energy-constrained UAVs and mobile charging stations

X Lin, Y Yazıcıoğlu, D Aksaray - IEEE Robotics and Automation …, 2022 - ieeexplore.ieee.org
We consider persistent (long-horizon) surveillance over an environment by using energy-
constrained unmanned aerial vehicles (UAVs), which are supported by unmanned ground …

Path planning of multi-type robot systems with time windows based on timed colored Petri nets

Z He, R Zhang, N Ran, C Gu - Applied Sciences, 2022 - mdpi.com
Mobile robots are extensively used to complete repetitive operations in industrial areas such
as intelligent transportation, logistics, and manufacturing systems. This paper addresses the …

Game-theoretic distributed approach for heterogeneous-cost task allocation with budget constraints

W Yang, X Liu, L He, Y Du, BQ Vo, Y Chen - Expert Systems with …, 2024 - Elsevier
This paper investigates heterogeneous-cost task allocation with budget constraints
(HCTAB), wherein heterogeneity is manifested through the varying capabilities and costs …

A game theoretic approach to distributed planning of multi-agent systems under temporal logic specifications

L Vande Kamp, A Koochakzadeh… - AIAA SCITECH 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-1657. vid Many applications of
multi-agent systems require complex team objectives and constraints to be satisfied by a …

Scheme of Operation for Multi-Robot Systems with Decision-Making Based on Markov Chains for Manipulation by Caged Objects

D Arreguín-Jasso, A Sanchez-Orta, H Alazki - Machines, 2023 - mdpi.com
This paper presents the design of a new control scheme for a group of omnidirectional
robots in a multi-robot system operating in an environment with obstacles. The control …

Priority based synchronization for faster learning in games

A Koochakzadeh, Y Yazıcıoğlu - 2022 IEEE 61st Conference …, 2022 - ieeexplore.ieee.org
Learning in games has been widely used to solve many cooperative multi-agent problems
such as coverage control, consensus, self-reconfiguration or vehicle-target assignment. One …

Game-theoretic Distributed Learning Approach for Heterogeneous-cost Task Allocation with Budget Constraints

W Yang, X Liu, L He, Y Du, Y Chen - arXiv preprint arXiv:2404.03974, 2024 - arxiv.org
This paper investigates heterogeneous-cost task allocation with budget constraints
(HCTAB), wherein heterogeneity is manifested through the varying capabilities and costs …

Multi-Agent Multi-Objective Decision-Making and Game for Saving Public Resources

X Ma, Y Zhang, W Xie, J Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Uncertain environments and inefficient decision analysis restrict the efficient utilization of
depletable public resources by multiagents, especially for the scenario involved with …

Game-Theoretical Approach to Multi-Robot Task Allocation Using a Bio-Inspired Optimization Strategy

S Chen, TX Lin, F Zhang - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
This paper introduces a game-theoretical approach to the multi-robot task allocation
problem, where each robot is considered as self-interested and cannot share its personal …