Unmanned Systems and Intelligent Control : Proceedings of USIC 2025 / edited by Azhar Mohd Ibrahim, Wenfeng Hu, Rui Gao.

Format:

Book

Author/Creator:

Ibrahim, Azhar Mohd.

Contributor:

Ibrāhīm.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1810

Language:

English

Subjects (All):

Automatic control.

Robotics.

Automation.

Computational intelligence.

Control, Robotics, Automation.

Computational Intelligence.

Local Subjects:

Control, Robotics, Automation.

Computational Intelligence.

Physical Description:

1 online resource (204 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

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.

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-16548-2

9783032165480

OCLC:

1573146593