OMPL (Open Motion Planning Library)
A library for sampling-based motion planning algorithms.
Overview
The Open Motion Planning Library (OMPL) consists of a set of sampling-based motion planning algorithms. The content of the library is limited to these algorithms, which means there is no environment specification, no collision detection or visualization. The library is designed so it can be easily integrated into systems that provide the additional needed components.
✨ Key Features
- State-of-the-art sampling-based motion planning algorithms
- Extensive benchmarking capabilities
- Support for constrained motion planning
- Integration with ROS/MoveIt
🎯 Key Differentiators
- Focus on providing a wide range of sampling-based planning algorithms
- Highly modular and independent of collision checkers and visualizers
Unique Value: A comprehensive, open-source library of sampling-based motion planning algorithms that is highly flexible and can be integrated into various robotics applications.
🎯 Use Cases (3)
✅ Best For
- Default planning library in MoveIt.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Users looking for a complete, out-of-the-box motion planning solution with a graphical user interface.
🏆 Alternatives
Unlike full-fledged motion planning frameworks, OMPL focuses solely on the planning algorithms, giving developers more control and flexibility in building their custom solutions.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: OMPL is open source and free to use.
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