Handbook of Intelligent Robots: Theory, Methods and Applications
暫譯: 智能機器人手冊：理論、方法與應用
Martinez-Carranza, Jose, Guzman-Zavaleta, Zobeida Jezabel, Negrete-Villanueva, Marco Antonio
- 出版商: CRC
- 出版日期: 2026-06-29
- 售價: $7,540
- 貴賓價: 9.5 折 $7,163
- 語言: 英文
- 頁數: 558
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041079796
- ISBN-13: 9781041079798
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相關分類:
無人機、Machine Learning
尚未上市，無法訂購
商品描述
This handbook introduces some of the most relevant techniques used to develop intelligent robotic systems and provides several examples of applications where robots equipped with AI are deployed to solve a task.
Handbook of Intelligent Robots: Theory, Methods and Applications is split into two main parts. The first part reviews key methods for developing intelligent robots implemented across various robotic systems, including service robots, micro aerial vehicles, manipulators, and humanoids, among others, deployed in diverse applications. The second part of the book provides several examples of applications where robotics systems are leveraged by AI and machine learning techniques to address real life applications, thus providing insights into the challenges and limitations of deploying robotic systems outside the laboratory. The main goal of the book is to familiarize the reader with the most recent concepts and techniques that are enabling robots to update their learned models online, to perform them efficiently on embedded processors, and to enable sophisticated interaction with the environment using spatial AI techniques such as visual simultaneous localization and mapping. To this end, the reader will delve into techniques such as continual learning, binary neural networks, neural controllers, fuzzy controllers, generation of time-optimal trajectories, generative models, natural language processing for robotics, and robot audition.
This book is intended for electrical, computer and mechanical engineers interested in robotics and AI as well as those interested in robots deployed in real life scenarios. It will be useful to postgraduate students seeking reviews of the state of the art regarding AI methods for robotics such as visual SLAM, continual learning, neural networks, and transformers.
商品描述(中文翻譯)
這本手冊介紹了一些用於開發智能機器人系統的相關技術，並提供了幾個應用範例，展示了配備人工智慧（AI）的機器人如何被部署來解決特定任務。
《智能機器人手冊：理論、方法與應用》分為兩個主要部分。第一部分回顧了在各種機器人系統中實施的開發智能機器人的關鍵方法，包括服務機器人、微型空中載具、操控器和人形機器人等，這些系統被應用於多樣的場景。書籍的第二部分提供了幾個應用範例，展示了如何利用AI和機器學習技術來解決現實生活中的問題，從而深入探討在實驗室之外部署機器人系統所面臨的挑戰和限制。這本書的主要目標是讓讀者熟悉最新的概念和技術，這些技術使機器人能夠在線更新其學習模型，並在嵌入式處理器上高效執行，還能利用空間AI技術（如視覺同時定位與地圖構建）與環境進行複雜的互動。為此，讀者將深入了解持續學習、二元神經網絡、神經控制器、模糊控制器、時間最優軌跡生成、生成模型、機器人自然語言處理和機器人聽覺等技術。
本書適合對機器人和人工智慧感興趣的電機、計算機和機械工程師，以及對在現實場景中部署的機器人感興趣的人士。對於尋求有關機器人AI方法（如視覺SLAM、持續學習、神經網絡和變壓器）的最新技術回顧的研究生來說，本書將非常有用。
作者簡介
Dr. Jose Martinez-Carranza is a Senior Researcher C (Equivalent to Full Professor) in the Computer Sciences Department at INAOE. In 2015, he received the Royal Society Newton Advanced Fellowship distinction, awarded by the Newton Fund. His team, QuetzalC++, has participated in highly prestigious international competitions, winning various awards, notably 1st Place in the IROS 2017 Autonomous Drone Racing competition, 1st Place Regional (Latin America) of the OpenCV AI Competition 2021, and ranked 10th in the A2RL Abu Dhabi Drone Racing Competition 2025. He has published 150 articles in scientific journals, book chapters, and international conference proceedings. He served as President of the Mexican Robotics Federation (2024-2025).
Dr. Zobeida Jezabel Guzman-Zavaleta is the Managing Director of the Doctorate Department at the Universidad de las Americas Puebla (UDLAP) in Mexico. She also oversees the institutional STEM strategy and leads the Artificial Intelligence research group at UDLAP. Dr. Guzma´n holds a PhD and a master's degree in science with a specialization in Computational Sciences from the Institute of Astrophysics, Optics, and Electronics (INAOE), as well as a Bachelor's degree in Computer Science from the Benemérita Universidad Auto´noma de Puebla (BUAP). In 2023, she coordinated the PhD in Intelligent Systems program at UDLAP (SNP-CONAHCYT) and has been a full-time professor at the university since 2019. Her research focuses on advancing cutting-edge techniques in computer vision, machine learning, deep learning, processing digital images, video, and audio, and steganography and watermarking for data security and concealment.
Dr. Marco Antonio Negrete-Villanueva is currently an Associate Professor at UNAM, and a member of the Board of Directors of theMexican Robotics Federation and Head of the Signal Processing Department at the School of Engineering, UNAM. He holds a PhD in Computer Science and a Master'sdegree in Automatic Control from the National Autonomous University of Mexico. Dr. Marco Negrete has worked on mobile robots focusing on autonomous navigation, movement planning, computer vision and manipulation. He has participated in several international competitions with humanoid and domestic service robots. His interests also include automatic control, self-driving cars and behavioral sciences.
Dr. Humberto Sossa-Azuela is a full-time professor at the National Polytechnic Institute of Mexico and serves as the Director of the Centre for Research in Computing. He is an Emeritus Member of the National System of Researchers, member of the Mexican Academy of Sciences, the Academy of Engineering and Fellow of the Mexican Society for Artificial Intelligence. He has a PhD in Computer Science from the National Polytechnic Institute of Grenoble, France. In addition, He has been distinguished with several awards and distinctions, for instance, the National Computing Prize by the Mexican Academy of Computing (AMEXCOMP), as well as the National Prize from the Cuban Academy of Sciences in the field of Natural and Exact Sciences. In 2024, he was bestowed an Honorary Doctorate by the Technological Institute of Higher Education in Ecatepec. Dr Sossa is the author of five textbooks, holds 13 patents, 32 copyrights, and has published over 490 conference and journal papers. His research areas include Artificial Intelligence, Machine Learning, Artificial Neural Networks, Image Analysis, Pattern Recognition, Robotics, and Metaverses.
作者簡介(中文翻譯)
何塞·馬丁內斯-卡蘭薩博士是INAOE計算機科學系的高級研究員C（相當於正教授）。他於2015年獲得英國皇家學會牛頓高級研究獎學金的榮譽，該獎項由牛頓基金頒發。他的團隊QuetzalC++參加了多項享有盛譽的國際競賽，並贏得了各種獎項，特別是在2017年IROS自主無人機賽事中獲得第一名、2021年OpenCV AI競賽拉丁美洲區域第一名，以及在2025年阿布達比無人機賽事中排名第十。他在科學期刊、書籍章節和國際會議論文集中發表了150篇文章。他曾擔任墨西哥機器人聯合會會長（2024-2025）。
佐貝達·赫薩貝爾·古茲曼-薩瓦萊塔博士是墨西哥美洲大學普埃布拉分校（UDLAP）博士部的執行董事。她還負責機構的STEM策略，並領導UDLAP的人工智慧研究小組。古茲曼博士擁有來自INAOE的計算科學專業博士學位和碩士學位，以及來自普埃布拉自治大學（BUAP）的計算機科學學士學位。2023年，她協調了UDLAP的智能系統博士課程（SNP-CONAHCYT），自2019年以來一直擔任該大學的全職教授。她的研究重點是推進計算機視覺、機器學習、深度學習、數字影像、視頻和音頻處理，以及數據安全和隱藏的隱寫術和水印技術的前沿技術。
馬爾科·安東尼奧·內格雷特-維亞紐埃瓦博士目前是國立自治大學（UNAM）的副教授，並擔任墨西哥機器人聯合會董事會成員及UNAM工程學院信號處理系主任。他擁有國立自治大學的計算機科學博士學位和自動控制碩士學位。內格雷特博士專注於自主導航、運動規劃、計算機視覺和操作的移動機器人。他參加了多項國際競賽，使用人形和家用服務機器人。他的興趣還包括自動控制、自駕車和行為科學。
亨伯托·索薩-阿祖埃拉博士是墨西哥國立工業學院的全職教授，並擔任計算研究中心主任。他是國家研究系統的榮譽成員，墨西哥科學院、工程學院的成員，以及墨西哥人工智慧學會的研究員。他擁有法國格勒諾布爾國立工業學院的計算機科學博士學位。此外，他獲得了多項獎項和榮譽，例如由墨西哥計算學院（AMEXCOMP）頒發的國家計算獎，以及古巴科學院在自然科學和精確科學領域的國家獎。2024年，他獲得了埃卡特佩克高等教育技術學院的榮譽博士學位。索薩博士是五本教科書的作者，擁有13項專利、32項著作權，並發表了490多篇會議和期刊論文。他的研究領域包括人工智慧、機器學習、人工神經網絡、影像分析、模式識別、機器人技術和元宇宙。
