AOMWAY

An open-source project that connects ESP32 microcontrollers to LLMs, creating a minimal embodied AI system with vision, touch, audio, and OLED display. Covers hardware architecture, sensor integration, bridge service design, latency benchmarks across 660 experiments, and practical guidance for makers exploring embodied intelligence on low-cost hardware.

A comprehensive guide to drone IMUs (Inertial Measurement Units). Covers 6-axis vs 9-axis configurations, gyroscope/accelerometer/magnetometer working principles, Kalman filtering and complementary filtering for sensor fusion, bias drift compensation, and key applications including stable flight, GPS-denied navigation, gimbal stabilization, and precision industrial operations.

A technical deep dive into the SBUS (S.Bus) digital RC protocol. Covers UART configuration (100000 8E2), 25-byte frame structure, 11-bit channel packing for 16 proportional channels, status flags, signal inversion circuits, and common implementation pitfalls in drone flight control systems.

A comprehensive technical guide to the CRSF (Crossfire Serial Protocol) used in drone flight control systems. Covers UART wiring, frame structure, type definitions, RC channel packing, extended frames for Lua parameter interaction, failsafe handling, and practical implementation details for ExpressLRS and TBS Crossfire.

A field engineer’s guide to IMU selection for industrial drone flight controllers. Learn why noise density, bias stability, temperature drift, range, bandwidth, and shock survival matter more than the specs vendors highlight — with 3 real-world crash case studies and a printable selection checklist.

A reader built an INA228 + REF200 + PT1000 temperature measurement circuit claiming 0.005°C accuracy. We analyze why resolution ≠ accuracy and break down 6 critical error sources in this deep-dive metrology analysis.

reBot-DevArm by Seeed Projects puts hardware drawings, BOM, Python SDK, ROS2 integration, and LeRobot embodied AI tutorials on GitHub with OSHWA certification. 3.7k stars and growing.

How drone visual positioning systems achieve 1mm recognition accuracy and ±2cm landing precision for autonomous docking, logistics delivery, vehicle-mounted and shipboard recovery operations.

From laser range finding and INS attitude data to target latitude, longitude, and altitude — the four-step geolocation pipeline that converts sensor measurements into geographic coordinates for drone-mounted EO pods.

Why your drone drifts while hovering, misreads altitude, or loses heading near power lines? Inside the sensor fusion arbitration system where gyros, GPS, barometers, and magnetometers compete for the flight controller’s trust.