Robotic Swarming Control via Voronoi Tessellations: Foundations and Applications
暫譯: 透過 Voronoi 分割的機器人群體控制：基礎與應用
Cao, Kai, Chen, Chaobo, Gao, Song
- 出版商: CRC
- 出版日期: 2026-07-10
- 售價: $5,610
- 貴賓價: 9.5 折 $5,329
- 語言: 英文
- 頁數: 279
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041199139
- ISBN-13: 9781041199137
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相關分類:
機器人製作 Robots
尚未上市，無法訂購
商品描述
With the help of a Voronoi diagram, this book systematically discusses how to solve the core cooperative control problem in a multi-robot system. From basic theory to cutting-edge applications, the book provides a comprehensive overview of the subject matter, offering readers a rigorous and practical knowledge system.
Central to this book's contribution is its transformation of centroidal Voronoi tessellations (CVT) theory into innovative multi-robot control algorithms. The effectiveness and superiority of these algorithms are verified through numerous simulations and real-environment experiments. The book demonstrates the deep integration of mathematical geometry and robotics, offering universal solutions for swarm intelligence in complex environments. It serves as an authoritative guide, bridging the gap between theoretical geometry and robotics engineering practice.
This book will be invaluable to scholars and students of robotics, automation, control engineering, and computer science.
商品描述(中文翻譯)
本書在 Voronoi 圖的幫助下，系統性地討論了如何解決多機器人系統中的核心協作控制問題。從基本理論到前沿應用，本書提供了該主題的全面概述，為讀者提供了一個嚴謹且實用的知識體系。
本書的貢獻核心在於將重心 Voronoi 切割（Centroidal Voronoi Tessellations, CVT）理論轉化為創新的多機器人控制演算法。這些演算法的有效性和優越性通過大量模擬和實際環境實驗得到了驗證。本書展示了數學幾何與機器人技術的深度整合，為複雜環境中的群體智慧提供了通用解決方案。它作為一本權威指南，架起了理論幾何與機器人工程實踐之間的橋樑。
本書對於機器人學、自動化、控制工程和計算機科學的學者和學生將是無價的資源。
作者簡介
Kai Cao is an associate professor at Xi'an Technological University and deputy director of the International Joint Research Center for Autonomous Systems and Intelligent Control in Shaanxi Province, China. His main research directions include multi-agent systems, multi-robot formation control and source localization, and collaborative multispectral remote sensing based on small drones.
ChaoBo Chen is a professor at Xi'an Technological University. He is currently the dean of the School of Electronic Information Engineering of Xi'an Technological University and the council member and deputy secretary-general of Shaanxi Provincial Automation Society. His current research focuses on intelligent control, fault diagnosis, and fault tolerance control.
Song Gao is a professor at Xi'an Technological University. Director of the International Joint Research Center for Autonomous Systems and Intelligent Control in Shaanxi Province, his research interests include autonomous intelligent unmanned systems, robot multi-mode intelligent inspection, automation control, and grid-connected inverter technology.
YangQuan Chen, a Clarivate Highly Cited Researcher, is a professor in the Department of Mechanical and Aerospace Engineering, School of Engineering, University of California, Merced. His research interests include mechatronics, smart control engineering via digital twins, and applied fractional calculus in STEM.
作者簡介(中文翻譯)
Kai Cao 是西安科技大學的副教授，並擔任中國陝西省自主系統與智能控制國際聯合研究中心的副主任。他的主要研究方向包括多智能體系統、多機器人編隊控制與源定位，以及基於小型無人機的協作多光譜遙感。
ChaoBo Chen 是西安科技大學的教授。目前擔任西安科技大學電子信息工程學院院長，以及陝西省自動化學會的理事和副秘書長。他目前的研究重點是智能控制、故障診斷和容錯控制。
Song Gao 是西安科技大學的教授，並擔任陝西省自主系統與智能控制國際聯合研究中心的主任。他的研究興趣包括自主智能無人系統、機器人多模式智能檢測、自動化控制以及並網逆變器技術。
YangQuan Chen 是Clarivate高被引研究者，現任加州大學默塞德分校工程學院機械與航空工程系的教授。他的研究興趣包括機電一體化、通過數位雙胞胎的智能控制工程，以及在STEM領域應用的分數微積分。
