Robotics in Weaponry using Machine Learning and Engineering

Language: English

Published by Taylor & Francis Ltd (Sales) Mai 2026, 2026

1041074441 / 9781041074441

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - 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.

Seller Inventory # 9781041074441

Title
Robotics in Weaponry using Machine Learning and Engineering
Author
Saurav Mallik
Publisher
Taylor & Francis Ltd (Sales) Mai 2026
Publication year
2026
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1041074441
ISBN 13
9781041074441
Item weight
857 grams
Dimensions
234x156x27 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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