dynibo is a robot kinematics and dynamics library for controller development.
It supports manipulators, humanoids, and other robots with fixed or floating
bases. It loads robot models from URDF and provides Rust, Python, C, and C++
interfaces.
Features
Fast
Dynibo is written in Rust and reuses per-robot storage. After a Robot and
output buffers are created, the main kinematics and dynamics routines do not
allocate or resize memory inside the calculation loop.
To put its computation speed in context, we benchmark Dynibo against Pinocchio, an open-source library for robot kinematics and dynamics. The benchmarks use Franka, a fixed-base manipulator with 7 joints, and unitree G1, a floating-base humanoid with 29 joints. The table below shows Dynibo's speedup over Pinocchio for each operation.
Source code to reproduce these results is available in benches/.
Reliable
Dynibo combines maintained fixtures with a seed-reproducible generated-URDF corpus, covering serial and branched robots, fixed and floating bases, mixed joint types, external loads, invalid inputs, and repeated workspace use. Results are checked against finite-difference approximations, consistency relations between related algorithms, and outputs from an independent Pinocchio oracle. Separate tests verify allocation-free execution and the installed Rust, Python, C, and C++ packages. See the test architecture for details.
Easy to Use
Dynibo's API is built around Robot: load a URDF, then call kinematics and
dynamics algorithms. Robot manages its internal calculation storage, so
users do not need to create and maintain separate Model and Data objects.
Rust, Python, C, and C++ interfaces share the same Rust core, making it easy to
integrate Dynibo into projects in different languages.
Dependencies
The Rust core has two direct runtime dependencies:
Python wheels bundle the native library and require NumPy 1.23 or newer at runtime.
Quick start
Rust
Add the Cargo package:
Load a URDF and compute a target-link pose:
use Robot;
Python
Install the Python package from PyPI:
The Python binding owns its reusable native calculation storage:
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C/C++
C and C++ users can download a prebuilt package for Linux, macOS, or Windows
from GitHub Releases, or build
and install the package from source. Prebuilt packages contain the shared
library, C and C++ headers, pkg-config metadata, and a CMake package
configuration. Select the archive matching your operating system and CPU
architecture and verify it against the release's SHA256SUMS.
Building from source requires Rust with Cargo and CMake 3.16 or newer:
Use an extracted prebuilt package or a source installation from another CMake project:
find_package(dynibo CONFIG REQUIRED)
target_link_libraries(my_robot PRIVATE dynibo::dynibo)
Configure the consumer with -DCMAKE_PREFIX_PATH pointing to the extracted
archive directory or the installation prefix. See the
installation guide
for platform-specific runtime library paths.
Examples
Complete Rust, Python, C++, and C examples are available in the
examples/ directory.
Each example exercises all of the main kinematics and dynamics methods.
Supported models
Dynibo supports both fixed-base robots and floating-base robots, using runtime-sized tree URDFs with revolute, continuous, prismatic, and fixed joints. It rejects invalid topology and reports structured errors for bad input lengths, model-mismatched handles, and solver failures.
Testing
Run the complete local Rust, Python, C, and C++ verification suite with the
command below. Pinocchio reference tests are included when Pinocchio is
available through pkg-config.
License
Dynibo code is licensed under MIT. Bundled robot descriptions retain their third-party licenses, including Franka's Apache-2.0 license and Unitree's BSD-3-Clause license.
Contributing
Dynibo is still at an early stage, and contributions are welcome. See
CONTRIBUTING.md
for development setup, required checks, and pull request guidelines.
Citation
If Dynibo is useful in your work, please cite it as: