Space Autonomy Quantum

Autonomous space navigation agent using optical quantum kernels for terrain classification.

dvcrn Updated 32 repo stars

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Space Autonomy Quantum Skill

This skill simulates an autonomous agent for space exploration that uses Optical Quantum Kernels to classify terrain. It emphasizes highest safety by implementing strict confidence thresholds. If the quantum classifier is uncertain, the agent triggers a failsafe "SAFE MODE".

Features

  • Quantum Perception: Uses simulated optical quantum interference to recognize terrain features.
  • Safety Failsafe: Automatically halts if classification confidence is below 0.8.
  • Autonomous Decision Making: Decides to "Navigate" or "Avoid" based on quantum kernel results.

Commands

  • navigate: Process a sensor reading and decide on an action.

dvcrn/openclaw-skills-marketplace/tree/main/plugins/aadipapp--space-autonomy-skill/skills/space-autonomy-quantum commit 89f6f0b790

Frequently asked questions

npx skillmds@latest add dvcrn/space-autonomy-quantum