💡 摘要
DART是一个用于机器人和动画动态仿真的开源工具包。
🎯 适合人群
🤖 AI 吐槽: “看起来很能打,但别让配置把人劝退。”
风险:Low。建议检查:是否执行 shell/命令行指令;是否发起外网请求(SSRF/数据外发);文件读写范围与路径穿越风险;依赖锁定与供应链风险。以最小权限运行,并在生产环境启用前审计代码与依赖。
DART
DART (Dynamic Animation and Robotics Toolkit) is an open-source library that provides data structures and algorithms for kinematic and dynamic applications in robotics and computer animation. Renowned for its accuracy and stability, DART utilizes generalized coordinates to represent articulated rigid body systems and employs Featherstone's Articulated Body Algorithm to compute motion dynamics.
Why DART?
- Accuracy & Stability — Featherstone's Articulated Body Algorithm with proven numerical stability
- Unified Format Support — Load URDF, SDF, MJCF, and SKEL models through a single API
- Full-featured Collision — Multiple collision detection backends (FCL, Bullet, ODE)
- Constraint Dynamics — Joint limits, contacts, and closed-loop constraints solved together
- Cross-platform — Linux, macOS, Windows with Python bindings included
- Battle-tested — Powers Gazebo, research labs, and production systems worldwide
Quick Start
Python
import dartpy as dart world = dart.World() # Load a robot from URDF urdf = dart.io.UrdfParser() robot = urdf.parseSkeleton("dart://sample/urdf/KR5/KR5 sixx R650.urdf") world.addSkeleton(robot) # Simulate 100 steps for _ in range(100): world.step() print(f"Positions: {robot.getPositions()}")
C++
#include <dart/dart.hpp> int main() { auto world = dart::simulation::World::create(); // Load a robot from URDF auto robot = dart::io::urdf::readSkeleton("path/to/robot.urdf"); world->addSkeleton(robot); // Simulate 100 steps for (int i = 0; i < 100; ++i) { world->step(); std::cout << "Positions: " << robot->getPositions().transpose() << "\n"; } return 0; }
Installation
Python (Recommended)
| Method | Command |
| ------------------ | ------------------------------------- |
| uv (preferred) | uv add dartpy |
| pip | pip install dartpy |
| pixi | pixi add dartpy |
| conda | conda install -c conda-forge dartpy |
C++
| Platform | Command |
| -------------------------------- | -------------------------------------------------------------------- |
| Cross-platform (recommended) | pixi add dartsim-cpp or conda install -c conda-forge dartsim-cpp |
| Ubuntu | sudo apt install libdart-all-dev |
| Arch Linux | yay -S libdart |
| FreeBSD | pkg install dartsim |
| macOS | brew install dartsim |
| Windows | vcpkg install dartsim:x64-windows |
Documentation
- Static Docs: English | 한국어
- AI Docs (interactive Q&A; experimental): DeepWiki | NotebookLM (Google account required)
Developer Resources
- Developer Onboarding Guide — Architecture, components, and workflows
- Contributing Guide — Style guide and contribution process
- Gazebo Integration — gz-physics integration workflow
- Release Roadmap — Compatibility, deprecations, and future plans
Branches
main— Active development targeting DART 7release-6.16— Maintenance branch for DART 6 (critical fixes only)
Citation
If you use DART in an academic publication, please consider citing this JOSS Paper:
@article{Lee2018, doi = {10.21105/joss.00500}, url = {https://doi.org/10.21105/joss.00500}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {22}, pages = {500}, author = {Jeongseok Lee and Michael X. Grey and Sehoon Ha and Tobias Kunz and Sumit Jain and Yuting Ye and Siddhartha S. Srinivasa and Mike Stilman and C. Karen Liu}, title = {DART: Dynamic Animation and Robotics Toolkit}, journal = {Journal of Open Source Software} }
License
DART is licensed under the BSD 2-Clause License.
优点
- 仿真中的高精度和稳定性。
- 支持多种模型格式。
- 跨平台兼容性。
- 活跃的开发和社区支持。
缺点
- 初学者的学习曲线较陡。
- 某些领域的文档有限。
- 依赖外部库。
- 性能可能因系统配置而异。
相关技能
免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。
版权归原作者所有 dartsim.
