Open bench / GitHub + learning

Learn by closing the loop

Theory becomes durable when it reaches a model, an implementation, a test, and—when authorized—the physical system. The repository map keeps those layers connected without pretending they are equivalent.

Most active repositories are private while their evidence and publication boundaries mature. Public links appear intentionally, never because a deployment exposed them.

01

Lab systems

Typed orchestration, device adapters, safety boundaries, and recoverable operations.

  • tranquility-te
02

Controls and robotics

Dynamics, estimation, control design, and reconfigurable physical experiments.

  • controls-gnc-learning
  • robotics-autonomy-learning
03

Vehicle systems

Real-time simulation, telemetry, and evidence-led vehicle development.

  • cpp-rt-car
  • vehicle-dynamics-learning
  • gr86-cca-telemetry
04

Signals and embedded systems

DSP, radar, RF, FPGA data paths, and hardware-in-the-loop practice.

  • dsp-radar-learning
  • rf-lab-learning
  • fpga-data-path-learning
  • embedded-rt-hil-learning

Source index

Follow what becomes public.

Open GitHub profile