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Tags: Hardware and IoT
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217–240 of 384 · Most stars

Public tracker for Scramjet Cloud Platform, a platform that bring data from many environments together.

  • data-stream
  • event-stream
  • transformations
  • reactive-programming

An open source, reverse engineered and improved SteamVR lighthouse driver with support for both 1.0 and 2.0 lighthouses, with a custom firmware for 1.0 lighthouses to support more than 2 basestations at the same time!

HealthyPi is the first fully open-source, full-featured vital sign monitor. Using the Raspberry Pi as its computing and display platform, the HealthyPi add-on HAT turns the Raspberry Pi into a vital sign monitoring system.

Universal BLE Smart Scale bridge. Captures body composition from Renpho, Xiaomi & 20+ others, syncs to Garmin Connect, Strava, MQTT (Home Assistant), InfluxDB, Webhooks, Ntfy & local files (CSV/JSONL). Headless CLI for Raspberry Pi, Linux, macOS & Windows.

RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.

  • robotics
  • graphical-programming
  • state-machine

Ultra-low-cost robotic joint: a $1.5 FOC board inside a 1503 gimbal motor, plus a 3D-printed high-ratio precision gearbox. Cheap power, exact motion.

An intuitive remotely-accessible system performance monitoring and task management tool for servers and headless Raspberry Pi setups.

Whole-body motion tracking for the Unitree G1 in under 3 minutes on average on one GPU: return 0.82 with 0/40 clips failed, held from 2.74 min (mean of 15 seeds, range 2.21-3.61, fine checkpoints), 11.87 it/s (world model + Muon + overlapped CUDA streams, mjlab)

  • humanoid
  • robot-learning
  • supermimic
  • world-model

This repository provides a set of tools and libraries to integrate Intel® OpenVINO™ Toolkit with ROS 2 (Robot Operating System), enabling efficient deployment of deep learning models for computer vision applications on Intel® hardware.