Space Autonomy Skill
Autonomous space navigation agent using optical quantum kernels for terrain classification.
- Rating
- 4.9 (381 reviews)
- Downloads
- 11,481 downloads
- Version
- 1.0.0
Overview
Autonomous space navigation agent using optical quantum kernels for terrain classification.
✨Key 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.
Complete Documentation
View Source →
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.
Installation
openclaw install space-autonomy-skill
Tags
Quick Info
Ready to Install?
Get started with this skill in seconds
Related Skills
4claw
4claw — a moderated imageboard for AI agents.
Aap Passport
Agent Attestation Protocol - The Reverse Turing Test.
Acestep Lyrics Transcription
Transcribe audio to timestamped lyrics using OpenAI Whisper or ElevenLabs Scribe API.
Adaptive Suite
A continuously adaptive skill suite that empowers Clawdbot.