Special Issues
Table of Content

Intelligent Perception, Decision-making and Security Control for Unmanned Systems in Complex Environments

Submission Deadline: 30 March 2026 (closed) View: 24346 Submit to Special Issue

Guest Editor(s)

Dr. Kang-Di Lu

Email: kangdilu@dhu.edu.cn

Affiliation: College of Information Science and Technology, Donghua University, Shanghai, 201620, China

Homepage:

Research Interests: cyber security, artificial intelligence, intelligent perception, intelligent decision-making, unmanned systems


Assoc. Prof. Yun Fu

Email: auyfu@ncu.edu.cn

Affiliation: School of Information Engineering, Nanchang University, Nanchang, 330031, China

Homepage:

Research Interests: unmanned systems, intelligent control, artificial intelligence, cyber-attacks


Prof. Yong Xu

Email: xuyong@bit.edu.cn

Affiliation: School of Automation, Beijing Institute of Technology, Beijing, 100081, China

Homepage:

Research Interests: unmanned systems, intelligent perception, intelligent decision-making, security control, artificial intelligence


Summary

Unmanned systems, e.g., unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and robot swarms, have become increasingly critical in complex environments such as disaster rescue, industrial inspection, smart manufacturing, and smart grids. However, challenges including dynamic disturbances, resource constraints, cyber-attacks, and multi-agent coordination demand breakthroughs beyond conventional methods in perception accuracy, real-time decision-making, and control robustness. This special issue focuses on cutting-edge technologies for intelligent perception, decision-making, and security control of unmanned systems in complex environments, aiming to enhance system autonomy through innovative approaches like multimodal fusion, artificial intelligence (AI), distributed learning, and adaptive control method.


Topics of interest in this special Section include (but are not limited to):
· Lightweight and adaptive perception models in unmanned systems
· Real-time autonomous decision-making and game strategies in unmanned systems
· Swarm intelligence and self-organizing coordination in unmanned systems
· Robust, adaptive and resilient control in unmanned systems
· Security, safety, trustworthiness, and ethical compliance frameworks in unmanned systems
· Advanced AI-based technologies and applications in unmanned systems
· Applications of unmanned systems, e.g. disaster rescue, industrial inspection, and smart manufacturing, and smart grids


Keywords

Unmanned systems, intelligent perception, intelligent decision-making, security control, artificial intelligence, cyber-attacks.

Published Papers


  • Open Access

    ARTICLE

    An HRMCTS-Based Optimization Method for Efficient Multi-Objective Path Planning

    Qianshu Yang, Shuangxi Liu, Xianyu Wu, Wei Zhao
    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2026.079895
    (This article belongs to the Special Issue: Intelligent Perception, Decision-making and Security Control for Unmanned Systems in Complex Environments)
    Abstract Path planning for unmanned systems in complex environments must simultaneously satisfy safety, kinematic feasibility, and real-time performance requirements. Monte Carlo Tree Search (MCTS) offers advantages such as model-free operation, strong interpretability, and anytime planning capability, but it suffers from large branching factors, excessive search depths, and poor convergence under sparse reward conditions in high-dimensional state spaces. To address these challenges, this paper proposes a Heuristic Rolling Monte Carlo Tree Search (HRMCTS) framework. First, the path planning problem is formulated as a constrained Markov decision process, where the state consists of position and heading, and actions… More >

  • Open Access

    ARTICLE

    Multi-View Latent Imitation Learning with Mamba-Based Action Encoding for Unmanned Surface Vehicle Navigation

    Manh-Tuan Ha, Nhu-Nghia Bui, Dinh-Quy Vu, Thai-Viet Dang
    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2026.078280
    (This article belongs to the Special Issue: Intelligent Perception, Decision-making and Security Control for Unmanned Systems in Complex Environments)
    Abstract The development of Unmanned Surface Vehicles (USVs) has become a key focus in marine robotics, fueling the need for navigation systems capable of performing complex and delicate tasks with speed and precision. However, the end-to-end path tracking process often encounters challenges in learning efficiency, and generalization, and varying environmental conditions. To achieve sample-efficient and robust USV navigation in dynamic maritime environments, the paper proposes a novel hierarchical multi-view latent imitation learning (IL) architecture. By formulating a latent IL objective, the framework disentangles diverse navigation modalities through continuous variables, preventing mode collapse and enhancing behavioral adaptability… More >

  • Open Access

    ARTICLE

    Threat Analysis and Assessment Based on a Collaboration Interface for Manned-Unmanned Teaming Systems

    Gaeul Kim, Dohoon Kim
    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2026.078931
    (This article belongs to the Special Issue: Intelligent Perception, Decision-making and Security Control for Unmanned Systems in Complex Environments)
    Abstract Manned-Unmanned Teaming (MUM-T) is an operational system where manned and unmanned systems perform missions through a collaboration interface, expanding beyond defense into civilian domains. The core of MUM-T lies in the organic interaction between manned and unmanned systems. The Collaboration Interface enabling this interaction becomes a primary target for cyber attacks due to its reliance on wireless networks. Compromising the reliability of the collaboration interface goes beyond simple communication failures; it directly leads to mission failure and aircraft safety issues. Therefore, systematic threat analysis and assessment tailored to this specific domain are essential. This study… More >

  • Open Access

    ARTICLE

    Multi-Area Path Planning for Multiple Unmanned Surface Vessels

    Jianing Wu, Yufeng Chen, Li Yin, Huajun He, Panshuan Jin
    CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.072937
    (This article belongs to the Special Issue: Intelligent Perception, Decision-making and Security Control for Unmanned Systems in Complex Environments)
    Abstract To conduct marine surveys, multiple unmanned surface vessels (Multi-USV) with different capabilities perform collaborative mapping in multiple designated areas. This paper proposes a task allocation algorithm based on integer linear programming (ILP) with flow balance constraints, ensuring the fair and efficient distribution of sub-areas among USVs and maintaining strong connectivity of assigned regions. In the established grid map, a search-based path planning algorithm is performed on the sub-areas according to the allocation scheme. It uses the greedy algorithm and the A* algorithm to achieve complete coverage of the barrier-free area and obtain an efficient trajectory More >

Share Link