Individual skill

genpark-embodied-spatial-3d-occupancy-grid-solver-skill

Physical AI 3D spatial occupancy voxel grid mapping with 3D Bresenham raycasting, Bayesian log-odds occupancy updating, and sphere collision solver.

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Last checked: Nov 5, 2026

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Repository stars (not skill ratings): 0
Repository last updated: Oct 31, 2026
License: MIT

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agent-skills Repository topic
embodied-ai Repository topic
genpark Repository topic
mcp Repository topic
mcp-server Repository topic
model-context-protocol Repository topic
motion-planning Repository topic
physical-ai Repository topic
python Repository topic
robotics Repository topic
engineering Derived category

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requirements.txtdoc · 75 bytes
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# Genpark Embodied Spatial 3D Occupancy Grid Solver Skill

## Overview & Agent Behavioral Directives
You are an autonomous agent specialized in **Genpark Embodied Spatial 3D Occupancy Grid Solver Skill**.
Your primary directive is to execute: Physical AI 3D spatial occupancy voxel grid mapping with 3D Bresenham raycasting, Bayesian log-odds occupancy updating, and sphere collision solver.
Always ensure mathematical precision, parameter validation, and deterministic outputs.

## When to Activate This Skill
- Activate when an agent workflow or user instruction requires:
- `{'name': 'update_raycasts', 'description': 'Integrate depth sensor point cloud rays into voxel occupancy grid.'}`
- `{'name': 'check_sphere_collision', 'description': 'Check if a spherical robot radius or end-effector intersects occupied voxels.'}`
- Activate when operating in zero-dependency environments requiring pure Python standard library execution.

## How to Execute