MicroSafe-RL
Adaptive control system for safe engine startup
2 followers
Adaptive control system for safe engine startup
2 followers
Proprietary Edge AI safety engine for Reinforcement Learning. Implements real-time Operational Stability Signatures to prevent hardware failure on microcontrollers (STM32/ESP32) - Kretski/MicroSafe-RL
AI works in simulation. Hardware doesnโt forgive mistakes."When we launched MicroSafe-RL, we had one goal: to create a deterministic โreflexโ for artificial intelligence. In industries like robotic surgery, critical chemistry, and autonomous drones, the latency of software protections is often the difference between success and disaster.๐ ๏ธ The Tech Behind the ShieldMicroSafe-RL is not just another wrapper. This is a MISRA-C:2012 compliant interceptor designed for bare-metal systems: Ultra-fast: 1.18 $\mu s$ Worst-Case Execution Time (WCET) on Cortex-M3. Minimalistic: Consumes only 24 bytes of RAM โ less than one TCP packet. Deterministic: $O(1)$ complexity, ensuring safety in every control cycle. ๐ฌ Scientific Validation ("Paper Mode") For this "Launch", we also released our Paper Mode benchmarks, which prove our superiority over industrial PLC systems: 240% greater margin: We achieve an average detection margin of $19.20 \pm 1.54$ steps compared to only $8.14 \pm 0.90$ for traditional threshold systems. Reliability: We maintain an extremely low False Positive Rate (0.05), eliminating unnecessary interruptions to the workflow. Zero overlap: The distribution of our latency shows complete separation from classical methods, ensuring a response window even for the noisiest signals.๐ Real-World ImpactWhether it's preventing thermal "runaway" in a chemical reactor or stopping a "hallucinating" robotic limb, MicroSafe-RL provides the time physics needs to stay within safe limits. Check out our GitHub for the full documentation and Paper Mode analyses! We'd love to hear your feedback and technical questions! ๐ก๏ธ๐๐#EdgeAI #Robotics #SafetyFirst #EmbeddedSystems #MicroSafeRL #MISRAC
Hi everyone ๐
This project started from a simple question:
What if embedded systems could adapt instead of just fail or switch to backup?
We built ORAC โ an adaptive fault-tolerant control system.
๐ง What it does:
Detects faults (e.g. SEU / drift)
Re-routes workload across nodes
Recovers automatically
๐ In our simulation:
Node failure injected mid-run
System stabilized without collapse
No data loss
Would love your feedback โ especially from control / embedded engineers.