MotrixSim
MotrixSim is a high-performance physics simulation engine designed for multibody dynamics and robotics simulation. It provides an efficient and stable simulation platform for robotics control, reinforcement learning, industrial simulation, and related engineering workflows.
Key Features
- Physics simulation: Supports rigid body dynamics, collision detection, and other core physics simulation capabilities.
- Generalized coordinate modeling: Uses a generalized coordinate system for modeling complex multibody systems.
- Modern solver: Uses an in-house constraint model and solver for efficient, stable multibody dynamics computation.
- High-performance computing: The CPU version is built with Rust for strong performance and memory safety.
- Python API: Provides a clean Python interface for rapid development and prototyping.
- Robotics support: Includes robotics-focused simulation features with strong compatibility for MJCF model files.
Use Cases
- Development and testing of robot control algorithms
- Reinforcement learning environment construction
- Industrial real-time physics simulation
- Physical phenomenon simulation and analysis
- Engineering design verification
- Education and research
Installation
pip install motrixsim
Documentation
1 maintainer
Metadata
1 maintainer
Release files for motrixsim 0.10.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| motrixsim-0.10.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / motrixsim-0.10.1-py3-none-any.whl
| Download URL | motrixsim-0.10.1-py3-none-any.whl |
|---|---|
| Size | 2.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9c27362c40b9a72c3e7ac80f556cc0effd4c30ab3afb93764c81e1f3745402b0
|
|
BLAKE2b-256 checksum How to use checksums |
cdcd0f2ca088cea1721d9a0cca058e9b18a41b5645ce8dcf8a857086e7667fec
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
pdm/2.28.0 CPython/3.11.2 Linux/6.12.57+deb13-amd64
|
