literobo 0.1.2

Lightweight URDF kinematics (forward kinematics + Jacobian) with Rust speed and Python bindings.

literobo

Lightweight kinematics utilities for URDF robots, implemented in Rust with Python bindings.

Features

• Parse URDF files and build a kinematic chain between any two links.
• Forward kinematics that returns a homogeneous transform.
• Geometric Jacobian for revolute and prismatic joints.
• Python bindings powered by PyO3 and packaged with maturin.

Layout

• src/chain.rs – core kinematics implementation
• src/python.rs – PyO3 bindings exposed to Python
• examples/ – ready-to-run assets (planar.urdf, quickstart.py)

Rust usage

use literobo::KinematicChain;

let chain = KinematicChain::from_urdf_file("robot.urdf", "base_link", "tool_link")?;
let pose = chain.forward_kinematics(&[0.0, 0.5, -1.0])?;
let jacobian = chain.jacobian(&[0.0, 0.5, -1.0])?;
println!("Pose:\n{}", pose.to_homogeneous());
println!("Jacobian:\n{}", jacobian);

Why provide base_link / end_link

• A URDF describes a tree (or forest), so the loader must know which branch to treat as the active sub-chain.
• Explicit base_link and end_link let the library search only between those two links and ignore unrelated branches when extracting the shortest path.
• This also clarifies behavior for floating bases or multi–end-effector robots: callers can choose different start/end pairs from one URDF to construct multiple chains as needed.

Development commands

Rust:

cargo fmt
cargo test

Python (using uv):

uv venv
source .venv/bin/activate
uv run pip install maturin  # build backend
uv run pip install .        # build + install the wheel
uv run python examples/quickstart.py

Python usage

The project is configured for uv so you can manage dependencies and builds without a virtualenv toolchain mismatch.

# Create an isolated environment
uv venv
source .venv/bin/activate

# Install build dependency and compile the wheel
uv run pip install maturin
uv run pip install .

import numpy as np
import literobo

robot = literobo.from_urdf_file("robot.urdf", "base_link", "tool_link")
q = np.array([0.0, 0.5, -1.0])
pose = robot.forward_kinematics(q)
jacobian = robot.jacobian(q)

print("Pose:\n", pose)
print("Jacobian:\n", jacobian)

To publish, run uv build (which delegates to maturin under the hood) and upload the wheel to PyPI with uv publish.

Quick sample run (Python)

Below is a minimal end-to-end example you can run locally:

# 1. Prepare environment (inside repo root)
uv venv
source .venv/bin/activate
uv run pip install maturin  # build backend

# 2. Build & install the wheel from the checked-out source
uv run pip install .

# 3. Run the bundled sample
uv run python examples/quickstart.py