Submission Deadline: 31 January 2026 View: 494 Submit to Special Issue
Prof. Dr. José Manuel Molína
Email: molina@ia.uc3m.es
Affiliation: Computer Science and Engineering Department, Universidad Carlos III de Madrid, 22, 28270 Colmenarejo, Madrid, Spain
Research Interests: machine learning, multi-Agent systems, fuzzy reasoning, deep learning, evolutionary computation, decision making
Prof. Dr. Juan Pedro Llerena
Email: jp.llerena@uah.es
Affiliation: Computer Science department, University of Alcalá, 28801, Alcalá de Henares (Madrid), Spain
Research Interests: probabilistic planning, information fusion, sensor uncertainty modelling, contextual effects in footprint sensor modeling, probabilistic planning interacts with the dynamic behaviors of vehicles, multi-objective optimization for tuning data fusion systems, high-level computer vision systems
Automation and control systems often face scenarios that require decision-making and action in environments with uncertainty, dynamic conditions, and complex constraints. This special issue focuses on integrating artificial intelligence, machine learning, and data fusion techniques into autonomous systems to improve mission efficiency in areas such as search and rescue (SAR), surveillance, automated delivery, and monitoring operations, among others. We welcome contributions that address modeling and simulation of search and surveillance missions using autonomous vehicles, sensor modeling in complex environments, and high-fidelity simulations in software and hardware-in-the-loop (SITL, HITL) setups to overcome contextual uncertainties.
The goal of this special issue is to gather original research and practical advances in computational methods for planning, control, and perception under uncertainty, bridging the gap between theoretical developments and real-world applications. Papers exploring new computational models, decision support systems, AI-based algorithms, and collective intelligence for autonomous operations are encouraged, aligning with CMES's mission to apply simulation and modeling to cutting-edge engineering and scientific challenges while promoting technology transfer to practical systems.
Potential topics include, but are not limited to:
· Data Fusion
· Artificial Intelligence
· Path Planning
· Probabilistic Path Planning
· Uncertainty Modeling
· Uncertainty Quantification and Propagation
· Surveillance Systems
· Drones
· Swarms
· Multi-Agent Systems
· Automatic Video Surveillance
· Machine Learning
· Metaheuristic Algorithms
· Multi-Objective Optimization
· Navigation
· SITL/HITL
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