Localization and Mapping of Autonomous Mobile Robots
暫譯: 自主移動機器人的定位與地圖建立
Yu, Junzhi, Cao, Zhiqiang, Guan, Peiyu
商品描述
Localization and mapping play a critical role in the autonomous task execution of mobile robots. This book covers the theoretical and technological aspects of robot localization and mapping, including visual localization and mapping, visual relocalization, LiDAR localization and mapping, and place recognition.
It provides the theoretical foundations of robot localization and mapping. It employs both traditional methods, such as geometry-based visual localization, and state-of-the-art deep learning techniques that improve robot perception. The authors also address LiDAR-based localization, exploring techniques to improve both efficiency and accuracy when processing dense point clouds. Key topics include visual localization using deep features, integration of visual solutions under ROS-based software architecture, and distribution-based LiDAR localization, etc.
This book will be of great interest to students and professionals in the field of robotics or artificial intelligence. It will also be an excellent reference for engineers or technicians involved in the development of robot localization.
商品描述(中文翻譯)
定位和地圖建立在移動機器人的自主任務執行中扮演著關鍵角色。本書涵蓋了機器人定位和地圖建立的理論和技術方面，包括視覺定位和地圖建立、視覺重定位、LiDAR 定位和地圖建立，以及地點識別。
本書提供了機器人定位和地圖建立的理論基礎。它採用了傳統方法，如基於幾何的視覺定位，以及最先進的深度學習技術，以改善機器人的感知。作者還探討了基於 LiDAR 的定位，研究在處理密集點雲時提高效率和準確性的技術。主要主題包括使用深度特徵的視覺定位、在基於 ROS 的軟體架構下整合視覺解決方案，以及基於分佈的 LiDAR 定位等。
本書將對機器人或人工智慧領域的學生和專業人士產生極大興趣。它也將成為參與機器人定位開發的工程師或技術人員的優秀參考資料。
作者簡介
Junzhi Yu is a professor in the Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, China, and also a guest researcher at the Institute of Automation, Chinese Academy of Sciences. His research interests include intelligent robots, motion control, and intelligent mechatronic systems. He has authored or co-authored seven monographs and published more than 200 science citation index papers in prestigious robotics and automation-related journals. He has successively been listed among the Most Cited Researchers in China between 2014 and 2023. He is a fellow of the Institute of Electrical and Electronics Engineers.
Zhiqiang Cao is currently a professor at the State Key Laboratory of Multimodal Artificial Intelligence Systems from the Institute of Automation, Chinese Academy of Sciences. His current research interests include service robot and intelligent robot.
Peiyu Guan is currently an assistant professor at the State Key Laboratory of Multimodal Artificial Intelligence Systems from the Institute of Automation, Chinese Academy of Sciences. Her research interests include service robots, visual localization and mapping, and computer vision.
Chengpeng Wang is at the State Key Laboratory of Multimodal Artificial Intelligence Systems from the Institute of Automation, Chinese Academy of Sciences. His research interests include intelligent robot, robot localization and navigation.
作者簡介(中文翻譯)
余俊志是中國北京大學工程學院先進製造與機器人系的教授，同時也是中國科學院自動化研究所的客座研究員。他的研究興趣包括智能機器人、運動控制和智能機電系統。他已經獨立或合著了七本專著，並在知名的機器人和自動化相關期刊上發表了超過200篇科學引文索引論文。他在2014年至2023年間多次被列為中國最具影響力的研究人員。他是電氣和電子工程師學會的會士。
曹志強目前是中國科學院自動化研究所多模態人工智慧系統國家重點實驗室的教授。他目前的研究興趣包括服務機器人和智能機器人。
關佩妤目前是中國科學院自動化研究所多模態人工智慧系統國家重點實驗室的助理教授。她的研究興趣包括服務機器人、視覺定位與地圖製作以及計算機視覺。
王承鵬在中國科學院自動化研究所多模態人工智慧系統國家重點實驗室工作。他的研究興趣包括智能機器人、機器人定位和導航。
