Robotics in Weaponry Using Machine Learning and Engineering
暫譯: 機器學習與工程在武器系統中的應用機器人技術

Mallik, Saurav, Mathivanan, Sandeep Kumar, Shivahare, Basu Dev

Robotics in Weaponry Using Machine Learning and Engineering
  • 出版商: CRC
  • 出版日期: 2026-05-12
  • 售價: $5,660
  • 貴賓價: 9.5 折 $5,377
  • 語言: 英文
  • 頁數: 476
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041074441
  • ISBN-13: 9781041074441
  • 相關分類: Reinforcement、控制系統 Control-systems

    • 尚未上市，無法訂購

商品描述

The integration ML with robotics and weaponry is revolutionizing mechanical engineering by enabling intelligent systems that can adapt, learn, and operate autonomously. In robotics, ML allows systems to process vast amounts of data from sensors to make real-time decisions. Robots, whether in industrial settings or autonomous vehicles, can navigate environments, recognize objects, and optimize tasks through reinforcement learning algorithms. In military applications, robotics combined with ML enhances autonomous weapon systems. Unmanned aerial vehicles (UAVs) and autonomous ground systems are increasingly utilized for surveillance, targeting, and even combat roles. These systems employ ML to improve target recognition, threat analysis, and adaptive decision-making in dynamic battle environments . This reduces human risk in conflict zones and can lead to more precise operational outcomes. Mechanical engineering plays a critical role in designing the physical systems that enable robotic mobility, structure, and function. Advanced mechanical systems integrate machine learning for predictive maintenance, fault diagnosis, and condition monitoring in weaponry and industrial robotics.

Mechanical engineers design robots with complex actuators, sensors, and control mechanisms that respond to real-time data processed by machine learning algorithms. The combination of robotics, ML, and mechanical engineering is driving the development of next-generation intelligent systems. These innovations not only improve automation but are also crucial for defence systems, manufacturing, and autonomous vehicle technologies. This synergy promises greater efficiency, adaptability, and autonomy in a range of applications.

Key Features:

  • Highlights Real-World Applications
  • Explores Advanced AI Techniques
  • Addresses Ethical and Security Concerns
  • Equips Readers with Hands-On Knowledge
  • Forecasts Future Technological Trends

商品描述(中文翻譯)

機器學習（ML）與機器人技術及武器系統的整合正在徹底改變機械工程，透過使智能系統能夠適應、學習並自主運作。在機器人技術中，機器學習使系統能夠處理來自感測器的大量數據，以做出即時決策。無論是在工業環境還是自主車輛中，機器人都能夠導航環境、識別物體，並通過強化學習算法優化任務。在軍事應用中，結合機器學習的機器人技術增強了自主武器系統的能力。無人機（UAV）和自主地面系統越來越多地用於監視、目標鎖定，甚至作戰角色。這些系統利用機器學習來改善目標識別、威脅分析和在動態戰鬥環境中的自適應決策。這減少了在衝突區域的人員風險，並可能導致更精確的作戰結果。機械工程在設計使機器人能夠移動、結構和功能的物理系統中扮演著關鍵角色。先進的機械系統整合了機器學習，用於武器和工業機器人的預測性維護、故障診斷和狀態監控。

機械工程師設計具有複雜執行器、感測器和控制機制的機器人，這些機器人能夠根據機器學習算法處理的即時數據作出反應。機器人技術、機器學習和機械工程的結合正在推動下一代智能系統的發展。這些創新不僅改善了自動化，還對防禦系統、製造業和自主車輛技術至關重要。這種協同作用承諾在各種應用中實現更高的效率、適應性和自主性。

主要特點：
- 突出現實世界應用
- 探索先進的人工智慧技術
- 關注倫理和安全問題
- 裝備讀者實用知識
- 預測未來技術趨勢

作者簡介

Saurav Mallik is a Research Scientist in the Department of Pharmacology and Toxicology, The University of Arizona, Tucson, Arizona, USA. Prior to this, he was Postdoctoral Fellow in Harvard T H Chan School of Public Health, University of Texas Health Science Center at Houston, and University of Miami Miller School of Medicine, USA. He obtained a PhD degree in the Department of Computer Science & Engineering from Jadavpur University, Kolkata, India in 2017 while his PhD was in Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India as a Junior Research Fellow. He is also a recipient of UGC Research Fellow and CSIR Research Associate, Government of India. He is also recipient of "Emerging Researcher In Bioinformatics" award from Bioclues & BIRD Award steering committee, India in the year 2020. He twice received Travel Grant Award for International Conference on Intelligent Biology and Medicine (ICIBM), 2018 at Los Angeles, CA, USA and 2021 at Philadelphia, PA, USA. Dr Mallik has coauthored more than 235 research papers in various peer-reviewed international journals, proceedings and book chapters. He also has more than 40 authored/edited books with major publishing houses. He attended many conferences in the USA and India. He is currently an active member of Institute of Electrical and Electronics Engineers (IEEE), American Association for Cancer Research (AACR), and Association for Computing Machinery (ACM), USA and life member of BIOCLUES, India. He is associate editors of many journals such as Frontiers in Genetics, PloS One, BMC Bioinformatics, Frontiers in Bioinformatics, Frontiers in Applied Mathematics and Statistics, Archives of Medical Sciences, Mathematics, Electronics, Bioengineered, International Journal of Biomedical Imaging, Chemistry & Biodiversity, International Journal of Molecular Sciences, etc. He is a member of the international advisory committee of many reputed engineering colleges in India. His research areas include data mining, computational biology, bioinformatics, biostatistics and machine learning. Email: sauravmtech2@gmail.com, smallik@arizona.edu

Dr. Sandeep Kumar Mathivanan received the M.S. degree in software engineering and the M.Tech. (by research) degree from Vellore Institute of Technology (VIT), Vellore, India, in 2016 and 2020, respectively, and the Ph.D. degree from the School of Information Technology and Engineering, VIT, in 2023. He is currently an Assistant Professor with the School of Computer Science and Engineering, Galgotias University, Greater Noida, India. He has more than six years of research experience. He is the author of many journals and conferences. He is a reviewer in many reputed Q1 and Q2 journal. His current research interests include machine learning, deep learning, remote sensing, and big data. Email: sandeep.m@galgotiasuniversity.edu.in, sandeepkumarm322@gmail.com

Dr. Basu Dev Shivahare is working as Associate Professor in department of artificial intelligence & data science, school of computer science & engineering at Galgotias University, Greater Noida India. He did PhD (CSE) from Dr. APJ Abdul Kalam Technical University AKTU, Lucknow, Uttar Pradesh, India in 2023, M. Tech (CS) from BIT MESRA, Ranchi, India in 2012 and B.Tech.(CSE) from Uttar Pradesh Technical University (UPTU), Lucknow, (UP) in 2006. He worked more than 10 years as assistant professor in department of Computer Science and Engg, at Amity University, Uttar Pradesh, India. He has published more than 40 research papers in peer review SCIE/Scopus index international journals and conferences. His research area is Image Processing, Medical image analysis, metaheuristic optimization algorithms and machine learning. He is UGC-NET qualified. He has more than 19 years of teaching experience.

Dr. S.K.B. Sangeetha is an Associate Professor at Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India, with over 17 years of academic and research experience. She completed her Ph.D. in Computer Science and Engineering from Anna University, Chennai, in 2019. Dr. Sangeetha has authored over 100 publications, including 5 authored books, 2 edited books, 16 book chapters, and 65 peer-reviewed papers in SCI and Scopus indexed journals. She has supervised 3 completed Ph.D. theses and 1 M.Tech thesis, and guided 44 UG students. Her research interests include Machine Learning, Deep Learning, Quantum Computing, and Emotional Intelligence. Dr. Sangeetha has been recognized with several awards, including the Excellence in Research and Publications Award from SNS Innovation Hub (2024) and Best Paper Awards at international conferences. She is an active member of ISTE and IEI and has contributed to organizing multiple events. She has also chaired sessions and delivered invited talks at national and international conferences.

Dr. Prabhu Jayagopal received his Bachelor's degree in Information Technology from Vellore Engineering College, Vellore, India, in 2004. He earned his Master's degree in Computer Science and Engineering in 2007 and his Ph.D. in 2015 from Sathyabama University, Chennai, India. With over 19 years of academic experience, he is currently a Professor in the School of Computer Science and Engineering and Information Systems at Vellore Institute of Technology (VIT), Vellore, where he has been serving since 2009. He has published more than 105 research papers in reputed journals and conferences and actively engages in collaborative research projects with national and international organizations and research institutions. His research interests include software testing, machine learning, IoT, deep learning, blockchain, and big data. Email: jprabhuit@gmail.com, j.prabhu@vit.ac.in

Somenath Chakraborty is an Assistant Professor at The West Virginia University Institute of Technology, Beckley, West Virginia, USA. He has experience of 11 years as a Lecturer, Assistant Professor, and Principal. He is a former Principal of Harirampur Government ITI, Nanoor Government ITI and Itahar Government ITI. Prof Chakraborty has significant research expertise in the field of Artificial Intelligence, Medical Image and Data Processing, Machine Learning, Pattern Recognition and Digital Image Processing. He has published many research papers in journals, conference proceedings, and book chapters as the lead author. He is an IEEE Senior Member, IEEE Computer Society, IEEE Computational Intelligence Society (CIS), IEEE Young Professionals, The IEEE Computer Society Bio-inspired Computing Special Technical Community (STC) etc. He also serves as a reviewer for several reputed journals. He is an editor of many journals and a Technical and Organizing Committee Member of several International Conferences. He was the President (2021-2022) and Secretary (2020-2021) of Graduate Student Association for Arts and Sciences (CAS GRADS) at The University of Southern Mississippi. He is passionate about Machine Learning, Data Science, Data Analytics, Pattern Recognition, Computer Vision, Image Processing, Artificial Intelligence, Cloud Computing and Blockchain.

作者簡介(中文翻譯)

**Saurav Mallik** 是美國亞利桑那州圖森市亞利桑那大學藥理學與毒理學系的研究科學家。在此之前，他曾擔任哈佛大學T.H. Chan公共衛生學院、德克薩斯州休士頓健康科學中心及邁阿密大學米勒醫學院的博士後研究員。他於2017年在印度加爾各答的賈達夫普爾大學計算機科學與工程系獲得博士學位，並在印度統計學研究所的機器智能單位擔任初級研究員。他也是印度政府的UGC研究獎學金和CSIR研究助理的獲得者。2020年，他獲得了來自Bioclues和BIRD獎勵委員會的「生物資訊學新興研究者獎」。他兩次獲得國際會議「智能生物學與醫學會議（ICIBM）」的旅行獎學金，分別於2018年在美國加州洛杉磯和2021年在美國賓夕法尼亞州費城舉行。Mallik博士在各種同行評審的國際期刊、會議和書籍章節中共同發表了超過235篇研究論文。他還與主要出版社合作編寫或編輯了超過40本書籍。他參加了許多在美國和印度舉行的會議。他目前是電氣與電子工程師學會（IEEE）、美國癌症研究協會（AACR）和計算機協會（ACM）的活躍成員，並且是印度BIOCLUES的終身會員。他擔任多本期刊的副編輯，如《Frontiers in Genetics》、《PloS One》、《BMC Bioinformatics》、《Frontiers in Bioinformatics》、《Frontiers in Applied Mathematics and Statistics》、《Archives of Medical Sciences》、《Mathematics》、《Electronics》、《Bioengineered》、《International Journal of Biomedical Imaging》、《Chemistry & Biodiversity》、《International Journal of Molecular Sciences》等。他是印度多所知名工程學院的國際諮詢委員會成員。他的研究領域包括數據挖掘、計算生物學、生物資訊學、生物統計學和機器學習。電子郵件：sauravmtech2@gmail.com, smallik@arizona.edu

**Dr. Sandeep Kumar Mathivanan** 於2016年和2020年分別在印度維洛爾科技學院（VIT）獲得軟體工程碩士學位和研究碩士學位，並於2023年在VIT的信息技術與工程學院獲得博士學位。他目前是印度大諾伊達Galgotias大學計算機科學與工程學院的助理教授。他擁有超過六年的研究經驗，並在多個期刊和會議上發表了許多論文。他是多本知名Q1和Q2期刊的審稿人。他目前的研究興趣包括機器學習、深度學習、遙感和大數據。電子郵件：sandeep.m@galgotiasuniversity.edu.in, sandeepkumarm322@gmail.com

**Dr. Basu Dev Shivahare** 目前在印度大諾伊達的Galgotias大學人工智慧與數據科學系擔任副教授。他於2023年在印度烏塔爾邦的阿卜杜勒·卡拉姆技術大學（AKTU）獲得計算機科學與工程博士學位，2012年在印度朗契的BIT MESRA獲得計算機碩士學位，並於2006年在烏塔爾邦技術大學（UPTU）獲得計算機科學與工程學士學位。他在印度阿米提大學的計算機科學與工程系擔任助理教授超過10年。他在同行評審的SCIE/Scopus索引國際期刊和會議上發表了超過40篇研究論文。他的研究領域包括影像處理、醫學影像分析、元啟發式優化算法和機器學習。他通過了UGC-NET考試，擁有超過19年的教學經驗。

**Dr. S.K.B. Sangeetha** 是印度Manipal高等教育學院的Manipal科技學院的副教授，擁有超過17年的學術和研究經驗。她於2019年在印度金奈的安娜大學獲得計算機科學與工程博士學位。Sangeetha博士已發表超過100篇出版物，包括5本著作、2本編輯書籍、16章書籍和65篇在SCI和Scopus索引期刊上發表的同行評審論文。她指導了3篇完成的博士論文和1篇碩士論文，並指導了44名本科生。她的研究興趣包括機器學習、深度學習、量子計算和情感智力。Sangeetha博士獲得了多個獎項，包括SNS創新中心的研究與出版卓越獎（2024）和國際會議的最佳論文獎。她是ISTE和IEI的活躍成員，並參與組織多個活動。她還在國內外會議上擔任過會議主席並發表邀請演講。

**Dr. Prabhu Jayagopal** 於2004年在印度維洛爾工程學院獲得資訊技術學士學位，並於2007年獲得計算機科學與工程碩士學位，2015年在印度金奈的Sathyabama大學獲得博士學位。擁有超過19年的學術經驗，他目前是維洛爾科技學院（VIT）計算機科學與工程及資訊系的教授，自2009年以來一直在此任職。他在知名期刊和會議上發表了超過105篇研究論文，並積極參與與國內外組織和研究機構的合作研究項目。他的研究興趣包括軟體測試、機器學習、物聯網、深度學習、區塊鏈和大數據。電子郵件：jprabhuit@gmail.com, j.prabhu@vit.ac.in

**Somenath Chakraborty** 是美國西維吉尼亞大學科技學院的助理教授。他擁有11年的講師、助理教授和校長的經驗，曾擔任Harirampur政府ITI、Nanoor政府ITI和Itahar政府ITI的校長。Chakraborty教授在人工智慧、醫學影像與數據處理、機器學習、模式識別和數位影像處理領域擁有顯著的研究專長。他作為主要作者在期刊、會議論文集和書籍章節中發表了許多研究論文。他是IEEE高級會員、IEEE計算機學會、IEEE計算智能學會（CIS）、IEEE青年專業人士、IEEE計算機學會生物啟發計算特別技術社區（STC）等。他還擔任多本知名期刊的審稿人，並是多個國際會議的編輯和技術及組織委員會成員。他曾擔任南密西西比大學藝術與科學研究生協會（CAS GRADS）的會長（2021-2022）和秘書（2020-2021）。他對機器學習、數據科學、數據分析、模式識別、計算機視覺、影像處理、人工智慧、雲計算和區塊鏈充滿熱情。

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