{"product_id":"robotics-in-weaponry-using-machine-learning-and-engineering-9781041074441","title":"Robotics in Weaponry Using Machine Learning and Engineering","description":"\u003cp\u003e • Author(s): Saurav Mallik | Sandeep Kumar Mathivanan | Basu Dev Shivahare\u003cbr\u003e • Publisher: CRC Press\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Data Science - Machine Learning\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eMechanical 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.\u003c\/p\u003e\u003cp\u003eKey Features: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eHighlights Real-World Applications\u003c\/li\u003e \u003cli\u003eExplores Advanced AI Techniques\u003c\/li\u003e \u003cli\u003eAddresses Ethical and Security Concerns\u003c\/li\u003e \u003cli\u003eEquips Readers with Hands-On Knowledge\u003c\/li\u003e \u003cli\u003eForecasts Future Technological Trends\u003c\/li\u003e \u003c\/ul\u003e","brand":"CRC Press","offers":[{"title":"Hardcover","offer_id":47773117448343,"sku":"9781041074441","price":11028.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781041074441.webp?v=1777977744","url":"https:\/\/atlanticbooks.com\/products\/robotics-in-weaponry-using-machine-learning-and-engineering-9781041074441","provider":"Atlantic Books","version":"1.0","type":"link"}