Edge Intelligence for Aerial Robots is a practical guide to running small AI models near the aircraft while respecting power, latency, and onboard computing limits.
This book explains how aerial robots can use edge intelligence to process sensor data, support perception tasks, make faster decisions, and reduce dependence on remote processing. Instead of treating AI as something that only runs in the cloud or on large computers, it shows how lightweight models can be planned, tested, and deployed closer to the aircraft.
Inside, readers will learn about onboard inference, model size, latency, power use, flight computer limits, sensor data pipelines, real-time vision workflows, model compression, telemetry-aware decisions, embedded AI systems, and safe testing habits for aerial robotics. The focus is practical and engineering-minded, helping readers understand how AI behavior must fit within the limits of real drone hardware.
Written for drone developers, robotics students, AI learners, embedded systems builders, UAV hobbyists, and autonomous-systems engineers, this guide provides a clear foundation for using edge intelligence in aerial robot workflows.
Whether you are testing small vision models, building onboard perception tools, improving mission decision support, or learning how AI connects with flight computers, this book will help you approach edge intelligence with more structure and confidence.
Buy this book today and start learning how to run small models near aerial robots while managing power and latency limits.
