Robotics in Weaponry using ML and Engineering by Saurav Mallik(.ePUB)+
File Size: 22.0 MB
Robotics in Weaponry using Machine Learning and Engineering by Saurav Mallik, Sandeep Kumar Mathivanan, Basu Dev Shivahare, Sangeetha S.K.B, Prabhu Jayagopal, Somenath Chakraborty
Requirements: .ePUB reader, 22.0 MB | True EPUB
Overview: The integration Machine Learning (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. This book serves as a valuable resource for students, researchers, defense professionals, and policymakers seeking to understand both the technological foundations and societal implications of AI-driven weaponry.
Genre: Non-Fiction > Tech & Devices
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