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This book offers readers timely access to innovative research and practical insights that are driving the next generation of intelligent autonomous systems. By showcasing forward-looking solutions and integrated technologies, it provides significant value for anyone seeking to understand or influence the rapidly evolving landscape of unmanned systems and intelligent control.
Drawing from a curated selection of peer-reviewed papers presented at USIC 2025 in Hong Kong, the proceedings presents cutting-edge advancements across unmanned systems, robotics, artificial intelligence, sensing technologies, and intelligent control. It highlights breakthroughs in autonomous vehicles, robotic manipulation, machine learning, communication and sensing systems, and next-generation control strategies. Emphasizing both theoretical developments and real-world applications, the book reflects the interdisciplinary nature of the field and the close collaboration between academia and industry.
With its broad and integrated scope, the book serves as a valuable reference for researchers, engineers, and practitioners in robotics, control engineering, artificial intelligence, automation, and related domains. It offers practical guidance, emerging trends, and forward-looking perspectives that support research, innovation, and the development of future intelligent autonomous systems.
List of contents
Shepherd Grid Strategy: Towards Reliable SWARM Interception.- Composite hierarchical anti-swing control for 6-dof tower cranes: an FAS approach.- Analysis of heterogeneous cognitive control networks of maritime autonomous surface ships with inter-system vertical handover.- Hybrid Genetic Algorithm-Particle Swarm Optimization for UAV Avionics Multi-Objective Optimization: A Deep Learning-Enhanced Approach.- Intelligent Optimization of Fracturing Parameters in Complex Reservoirs: Multi-Algorithm Fusion and Dynamic Updating for Production Gains.- Knowledge-Graph-Driven Fault Diagnosis for Electromechanical Control Systems-Transfer Learning and Neo4j-Based Reasoning.- Design and Development of a Teleoperated Mobile Robot with SLAM and Thermal Sensing.- Autonomous Navigation and Path Optimization for 4WS4WD Robots.- Model of multicomponent complex motion as a basis for controlling a group of unmanned platforms.- A 3D Path Planning Method for UAVs Based on Flow Field Navigation.- LLM-Assisted Fault Knowledge Graph for Unmanned Electromechanical Systems: Ontology-to-Neo4j Construction and Cypher Reasoning.- Machine Learning-Based Error Compensation Methods for UAV Positioning Systems.- Complex pattern automatic recognition method based on fuzzy LSSVM optimized by AGA.
Summary
This book offers readers timely access to innovative research and practical insights that are driving the next generation of intelligent autonomous systems. By showcasing forward-looking solutions and integrated technologies, it provides significant value for anyone seeking to understand or influence the rapidly evolving landscape of unmanned systems and intelligent control.
Drawing from a curated selection of peer-reviewed papers presented at USIC 2025 in Hong Kong, the proceedings presents cutting-edge advancements across unmanned systems, robotics, artificial intelligence, sensing technologies, and intelligent control. It highlights breakthroughs in autonomous vehicles, robotic manipulation, machine learning, communication and sensing systems, and next-generation control strategies. Emphasizing both theoretical developments and real-world applications, the book reflects the interdisciplinary nature of the field and the close collaboration between academia and industry.
With its broad and integrated scope, the book serves as a valuable reference for researchers, engineers, and practitioners in robotics, control engineering, artificial intelligence, automation, and related domains. It offers practical guidance, emerging trends, and forward-looking perspectives that support research, innovation, and the development of future intelligent autonomous systems.
