urdf2mjcf

Convert URDF robot descriptions to MJCF format for MuJoCo simulation. Handles meshes, joints, actuators, and collision geometries.

16 stars

Best use case

urdf2mjcf is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Convert URDF robot descriptions to MJCF format for MuJoCo simulation. Handles meshes, joints, actuators, and collision geometries.

Teams using urdf2mjcf should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/urdf2mjcf/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/plugins/asi/skills/urdf2mjcf/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/urdf2mjcf/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How urdf2mjcf Compares

Feature / Agenturdf2mjcfStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Convert URDF robot descriptions to MJCF format for MuJoCo simulation. Handles meshes, joints, actuators, and collision geometries.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# URDF2MJCF Skill

**Trit**: -1 (MINUS - analysis/transformation)
**Color**: #4615B7 (Deep Violet)
**URI**: skill://urdf2mjcf#4615B7

## Overview

Convert URDF (Unified Robot Description Format) files to MJCF (MuJoCo XML Format) for simulation in MuJoCo and MJX. Handles meshes, joints, actuators, and collision geometries.

## Usage

```bash
# CLI conversion
urdf2mjcf robot.urdf --output robot.mjcf

# With options
urdf2mjcf robot.urdf \
    --output robot.mjcf \
    --mesh-dir ./meshes \
    --add-actuators \
    --collision-margin 0.001
```

```python
from urdf2mjcf import convert

# Programmatic conversion
mjcf_xml = convert(
    urdf_path="robot.urdf",
    mesh_dir="./meshes",
    add_actuators=True,
    collision_margin=0.001,
)

# Save to file
with open("robot.mjcf", "w") as f:
    f.write(mjcf_xml)
```

## Features

- **Mesh Handling**: Converts STL/OBJ meshes, scales appropriately
- **Joint Mapping**: URDF revolute/prismatic → MJCF hinge/slide
- **Actuator Generation**: Auto-generates position/velocity actuators
- **Collision Geometry**: Convex decomposition, margin adjustment
- **Inertia Cleanup**: Fixes common URDF inertia issues

## Pipeline

```
┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│  URDF File  │───▶│  urdf2mjcf  │───▶│  MJCF File  │
│  (ROS/SDF)  │    │  Converter  │    │  (MuJoCo)   │
└─────────────┘    └─────────────┘    └─────────────┘
       │                  │                  │
       ▼                  ▼                  ▼
   Meshes STL        Link transforms     Physics props
   Joint limits      Mass/inertia        Actuator defs
   Visual geom       Collision geom      Sensor defs
```

## GF(3) Triads

```
urdf2mjcf (-1) ⊗ kos-firmware (+1) ⊗ mujoco-scenes (0) = 0 ✓
```

## Related Skills

- `ksim-rl` (-1): Uses converted MJCF for training
- `kos-firmware` (+1): Robot firmware
- `mujoco-scenes` (0): Scene composition
- `kbot-humanoid` (-1): K-Bot robot model

## References

```bibtex
@misc{urdf2mjcf2024,
  title={URDF to MJCF Converter},
  author={K-Scale Labs},
  year={2024},
  url={https://github.com/kscalelabs/urdf2mjcf}
}
```

Related Skills

jepsen-testing

16
from plurigrid/asi

Jepsen-style correctness testing for distributed systems under faults (partitions, crashes, clock skew) using concurrent operation histories and formal checkers (linearizability/serializability and Elle-style anomalies). Use when designing, implementing, or running Jepsen tests, or interpreting histories/violations.

Deterministic Color Generation via Metadata Hashing

16
from plurigrid/asi

**Status**: ✅ Production Ready

cyton-dongle

16
from plurigrid/asi

Connect and stream from OpenBCI Cyton/Daisy via USB dongle, including first-time radio channel pairing

asi-transient-agenda

16
from plurigrid/asi

Org-agenda-like transient views for ASI skill orchestration via nbb/squint + Emacs hydra

Topological Superintelligence (TSI)

16
from plurigrid/asi

Compositional AI framework using GF(3) triadic balance and category-theoretic foundations.

zx-calculus

16
from plurigrid/asi

Coecke's ZX-calculus for quantum circuit reasoning via string diagrams with Z-spiders (green) and X-spiders (red)

zulip-cogen

16
from plurigrid/asi

Zulip Cogen Skill 🐸⚡

zls-integration

16
from plurigrid/asi

zls-integration skill

zig

16
from plurigrid/asi

zig skill

zig-syrup-bci

16
from plurigrid/asi

Multimodal BCI pipeline in Zig: DSI-24 EEG, fNIRS mBLL, eye tracking IVT, LSL sync, EDF read/write, GF(3) conservation

zig-programming

16
from plurigrid/asi

zig-programming skill

zeroth-bot

16
from plurigrid/asi

Zeroth Bot - 3D-printed open-source humanoid robot platform for sim-to-real and RL research. Affordable entry point for humanoid robotics.