occupancy-map
occupancy-map is an Embedded, IoT & robotics skill for AI agents, published by isaac-sim in the IsaacSim repository on GitHub. Skillspace rates occupancy-map D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Generate ROS-compatible occupancy maps from USD scenes for robot navigation and perception training. Covers obstacle extraction, 2D grid projection, height filtering, dilation buffers, and Nav2/MobilityGen/A* path planning integration.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 3,708
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Uses NVIDIA Isaac Sim's own public occupancy-map extension.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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