Artículo: AMZ-B0GHZYKPGD

AI for Aerial Robotics: Integrating Machine Learning Models for Autonomous Decision Making

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Detalles del producto
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Peso con empaque
0.84 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
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USA

Sobre este producto
  • The Next Evolution of Flight is Cognitive.Drones can already fly. It’s time to teach them to think.Traditional automation follows rules. True autonomy requires intelligence. AI for Aerial Robotics is the definitive guide for developers and engineers ready to move beyond pre-programmed flight paths and into the era of decision-making machines.This book bridges the critical gap between Data Science and Aerial Robotics. It skips the basics of "how to fly" to focus entirely on "how to decide." You will learn to deploy Machine Learning models directly onto edge devices, enabling UAVs to process data, adapt to changing environments, and execute complex missions without human input.Architect the Brain of the DroneThrough practical Python projects and real-world architectures, you will master the integration of heavy ML models into constrained flight hardware.Edge AI Deployment: Learn to optimize and run lightweight Neural Networks on companion computers like Raspberry Pi and NVIDIA Jetson.Reinforcement Learning: Train agents to navigate undefined obstacles and turbulent environments through trial and error—no maps required.Semantic Segmentation: Go beyond simple object detection—teach your drone to understand context (water vs. road vs. building) for smarter safe-landing protocols.Predictive Maintenance: Use sensor data analytics to predict hardware failures before the drone ever leaves the ground.Swarm Intelligence: An introduction to decentralized decision-making algorithms that allow multiple drones to coordinate actions as a single unit.Whether you are optimizing crop monitoring, automating security patrols, or researching the next breakthrough in search-and-rescue, this book provides the intelligent frameworks you need.Don't just build a robot. Build a thinking machine. Scroll up and grab your copy to lead the AI aviation revolution.

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