Autonomous Vehicles: Planning and Control

Master the future of marine exploration and technology with Autonomous Marine Vehicles Planning and Control, which provides a comprehensive, interdisciplinary guide to the principles, control, and real-world applications of autonomous marine vehicles.

Autonomous Marine Vehicles Planning and Control explores the intricate and rapidly evolving field of autonomous marine vehicles, focusing on unmanned surface vehicles (USVs) and autonomous underwater vehicles (AUVs). This book is designed to provide a comprehensive overview of the fundamental principles, advanced control methodologies, and practical applications of these autonomous systems in various marine environments. Through a series of detailed chapters, the book delves into the technical aspects, innovative algorithms, and real-world challenges associated with the deployment and operation of USVs and AUVs. Through a highly technical and research-oriented approach, each chapter combines theoretical analysis with practical case studies and simulation results to illustrate the effectiveness of the proposed methods. The book also addresses the interdisciplinary nature of the field, integrating concepts from robotics, artificial intelligence, and marine engineering to provide a holistic view of autonomous marine vehicle technology.

Yong Bai, PhD is a professor in the College of Civil Engineering and Architecture at Zhejiang University. He has written over 200 academic papers in national and international academic journals and internationally published over 20 books. His research interests include marine engineering structures, unmanned surface vehicles, autonomous underwater vehicles, hydrogen vessels, marine pipelines and risers, engineering risk analysis, and safety assessment.

Liang Zhao, PhD is a research fellow at Zhejiang University. He has co-authored over 20 research articles in top engineering journals. His current research focuses on planning and decision making for marine robotics, asynchronous maritime perception, and green and intelligent shipping.