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Drones Autónomos II: Robótica, Visión Artificial, IA
Paperback
Series: Drones Autónomos
Publisher Price: $39.90
ISBN13: 9788409870745
Publisher: Dronebooks
Published: May 21 2026
Pages: 246
Weight: 0.99
Height: 0.67 Width: 6.00 Depth: 9.00
Language: Spanish
Has dominado los fundamentos (Volumen 1). Ahora es hora de llevarlo al siguiente nivel: autonomÃa inteligente.
Este libro te enseña cómo integrar robótica, visión por computadora e inteligencia artificial en drones reales. Perfecto para ingenieros que quieren especializarse en percepción autónoma.
CapÃtulo 1 - ROS2 y Arquitectura Robótica
- Sistema operativo de facto en robótica profesional.
- Nodos, tópicos, mensajes - arquitectura descentralizada.
- Integración Ardupilot + ROS2 (bridge MAVLink).
- Nav2: stack de navegación autónoma en 3D.
- Simulación con Gazebo + SITL.
CapÃtulo 2 - Visión Artificial y Detección de Objetos
- OpenCV: procesamiento de imágenes en tiempo real.
- YOLOv8: detección ultrarrápida (45 FPS en GPU).
- Métodos clásicos vs. Deep Learning.
- Integración con ROS2 (publishers/subscribers de imágenes).
- Casos reales: detección de personas, vehÃculos, puntos de interés.
CapÃtulo 3 - IA en Drones
- Edge Computing: procesar en el drone, no en la nube.
- LÃnea Jetson (Nano → Orin): elección según latencia y presupuesto.
- Latencia
- TensorRT: aceleración 2-3x de modelos NN.
- Arquitectura completa: Jetson + ROS2 + Ardupilot + visión.
CaracterÃsticas clave:
- 246 páginas densas de contenido aplicado
- Código Python/C++ listo para usar.
- 20+ gráficos y diagramas de flujo.
- Compatible con hardware: Jetson Nano, Orin NX, RTX.
- Preparación para drones de investigación/comercial.
Requisitos previos:
- Familiaridad con Python (Anexo A2).
- Conceptos de drones (Volumen 1).
- Ubuntu 22.04 recomendado.
Para quién es?
- Ingenieros especializándose en autonomÃa robótica.
- Investigadores en visión artificial.
- Startups de drones con IA.
- Makers que quieren drones inteligentes.
Desde detección de objetos hasta toma de decisiones autónoma, aprenderás el stack completo de drones inteligentes.
Todos los ejemplos, prácticas, ejercicios y exámenes están resueltos y disponibles en GitHub:
https: //github.com/DroneBooks/DronesAutonomos
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