Robotics

Exstrike's 3-tier safety stack stops autonomous crashes with zero latency

Control Barrier Functions plus Vision-LLM triple architecture forces robots to halt before impact—even if the main AI panics.

Deep Dive

Exstrike is a real-time safety infrastructure designed to prevent physical crashes in autonomous systems and tactical robotics. Built as a drop-in SDK, it targets the critical failure mode where navigation models fail, sensors blind out, or GPS is lost—resulting in expensive hardware destruction. Most current systems rely on fragile software limits; Exstrike instead decouples perception safety math and hardware override into a dedicated 3-model architecture.

Hercule acts as an LLM-to-spatial perception engine, ingesting high-frame-rate raw camera feeds to perform continuous spatial mapping, velocity estimation, and obstacle detection—grounding Vision-LLMs like Claude, Gemini, and GPT-4o in physically precise reality without cloud latency. Soteria is the deterministic Control Barrier Engine, solving real-time Quadratic Programs using Control Barrier Functions (CBFs) to compute the exact safe physical envelope of the vehicle. It stays passive while the primary AI is safe, but actively modifies control commands the moment a trajectory breaches the safe set. Armageddon is the zero-latency emergency hardware override: a fail-closed circuit breaker sitting above motor controllers and actuators that bypasses the main AI entirely to cut drive signals or engage maximum regenerative braking when a crash is imminent.

The creator has validated core logic on a physical test bench and is seeking a technical co-founder with deep C++, ROS 2, OpenCV, or CUDA skills to scale the prototype into a production-grade, ultra-low-latency framework. Exstrike aims to become the industry standard for physical crash prevention in high-risk real-world autonomous deployments.

Key Points
  • Exstrike uses a 3-model architecture: Hercule (LLM spatial perception), Soteria (CBF-based quadratic programming), and Armageddon (hardware failsafe override).
  • The SDK decouples safety from primary navigation AI, enabling intervention even when GPS is lost or vision models hallucinate.
  • Armageddon bypasses the main AI and flight controller entirely, executing total override with zero latency via fail-closed circuit breaker logic.

Why It Matters

Autonomous units in defense, robotics, and drones need bulletproof hardware-level safety fallbacks to prevent costly physical crashes and enable real-world deployment.

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