Special Issue

Topic: Collaborative Optimization and Control of Intelligent Unmanned Autonomous Systems

A Special Issue of Intelligence & Robotics

ISSN 2770-3541 (Online)

Submission deadline: 31 Dec 2026

Guest Editor(s)

Prof. Hao Zhang
College of Electronic Information and Engineering, Tongji University, Shanghai, China.
Dr. Changzhu Zhang
College of Electronic Information and Engineering, Tongji University, Shanghai, China.

Special Issue Introduction

The past few decades have witnessed the significant development of intelligent unmanned autonomous systems, which would be widely used in key military and civilian fields, such as reconnaissance and rescue missions, environmental protection and surveillance. Most recently, various techniques have been developed to address the technical challenges in these systems. Game theory on cooperation and competition among multiple decision-making agents provides an effective framework to solve the control-related problems and further improve system performances, such as optimality, robustness, and safety in complex systems. However, the stability performance is the most important, which is seldom considered in the existing results due to the complexity and unfeasibility of the concerned problems with uncertainties and unknown disturbances. Therefore, it is necessary to combine game theory methods and techniques with optimize control to achieve better system performance. This Special Issue focuses on promoting the development of collaborative optimization technologies for intelligent unmanned autonomous systems within the framework of game theory. The key motivation behind this is to provide an opportunity for scientists, engineers, and practitioners to publish their latest theoretical and technological achievements with original ideas and new approaches on optimization and control of intelligent unmanned autonomous systems with complex dynamics under complicated environmental constraints, such as cooperative control, game optimization, formation, and task allocation of autonomous unmanned systems. Potential topics include but are not limited to the following:

● Coordination of multi-agent systems
● Autonomous driving
● Optimization of complex dynamic systems
● Cluster Game of multi-agent system
● Distribution Location for autonomous unmanned systems
● Formation control of heterogeneous multiple unmanned systems
● Task allocation and decision planning of multi-robotic system
● Cyber security of multi-intelligent unmanned system

Keywords

Intelligence, Coordination, Game optimization, unmanned autonomous systems, task allocation, cyber security

Submission Deadline

31 Dec 2026

Submission Information

For Author Instructions, please refer to https://www.oaepublish.com/ir/author_instructions
For Online Submission, please login at https://oaemesas.com/login?JournalId=ir&IssueId=IR211221
Submission Deadline: this Special Issue is open for long-term submissions, and you are welcome to submit at any time.
Contacts: Jane Pang, Assistant Editor, assistant_editor@intellrobot.com

Published Articles

Reinforcement learning with parameterized action space and sparse reward for UAV navigation

Open Access Research Article DOI: 10.20517/ir.2023.10 26 Jun 2023
Views: Downloads:
Download PDF

UAV maneuver decision-making via deep reinforcement learning for short-range air combat

Open Access Research Article DOI: 10.20517/ir.2023.04 8 Mar 2023
Views: Downloads:
Download PDF

leader-following consensus of multi-agent systems with channel fading under switching topologies: a semi-Markov kernel approach

Open Access Research Article DOI: 10.20517/ir.2022.19 19 Aug 2022
Views: Downloads:
Download PDF

Unmanned aerial vehicle with handover management fuzzy system for 5G networks: challenges and perspectives

Open Access Research Article DOI: 10.20517/ir.2021.07 21 Feb 2022
Views: Downloads:
Download PDF
Intelligence & Robotics
ISSN 2770-3541 (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/