- ホーム
- > 洋書
- > ドイツ書
- > Mathematics, Sciences & Technology
- > Technology
- > electronics, electrical engineering, telecommunications
Full Description
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.
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.
