SKU/Artículo: AMZ-B0G1YH8XY8
Autonomous Drone Systems Development with Go and ROS2: A Practical Guide for Engineers Building Real-Time Control, Navigation and AI-Powered Flight Infrastructure
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1.06 kg
Sí
Nuevo
Amazon
- ROS2 setup, workspace configuration, and Go integration for real-time control
- Core flight hardware, IMU, GPS, LiDAR, and camera interfacing
- Reading, filtering, and processing raw sensor data for navigation accuracy
- Writing ROS2 nodes in Go for sensor input and control feedback
- PID control loop design and concurrency management for stable flight
- Localization, SLAM, and pathfinding algorithms for autonomous movement
- Dynamic obstacle detection and avoidance in changing environments
- Integrating TensorFlow Lite and ONNX models for onboard machine learning
- Reinforcement learning for adaptive flight decision-making
- Multi-drone coordination and distributed communication using ROS2 DDS
- Building telemetry APIs, cloud dashboards, and microservices in Go
- Managing edge computing constraints and streaming data to the cloud
- Automated testing, redundancy, and safety mechanisms for reliable deployment
- Field testing, 5G integration, and the future of AI-driven aerial systems
- Robotics engineers and developers working with autonomous systems
- Go and ROS2 programmers seeking to integrate control logic with AI
- Drone designers interested in real-time, cloud-connected flight software
- Students and researchers in robotics, computer vision, or aerospace fields
- Professionals developing UAV solutions for logistics, mapping, or defense
- The ability to design and control drones using ROS2 and Go
- Skills to build resilient flight control systems with concurrent processing
- Experience integrating AI models for perception and decision-making
- Confidence to test, deploy, and manage autonomous drone missions
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