HKUST-Aerial-Robotics/Fast-Planner

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3387 stars · 774 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Fast-Planner is a C++/ROS trajectory planning framework enabling quadrotors to fly fast through complex unknown environments. It provides a foundational codebase of planning algorithms used by popular open-source drone projects like EGO-Planner, FUEL, and RACER.

Use cases

• plan collision-free trajectories for quadrotors in unknown environments
• enable fast autonomous drone flight
• build a UAV navigation stack with motion planning
• research baseline for quadrotor trajectory optimization
• support autonomous exploration with a drone
• integrate B-spline trajectory optimization into a robot

When to choose

• you need robust, well-cited quadrotor motion planning for research or deployment
• your project builds on ROS and Ubuntu
• you want a framework compatible with EGO-Planner, FUEL, or RACER

When to avoid

• you need planning for non-aerial robots like ground vehicles or manipulators
• you require Windows or non-ROS platforms
• you need a plug-and-play commercial autopilot solution rather than a research framework

Facets

library · maturity stable

simulation robotics robotics autonomous-vehicles cpp quadrotor trajectory-planning motion-planning uav ros aerial-robotics drone-navigation algorithm algorithms linux

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markdown · JSON · MCP: product_card(name="HKUST-Aerial-Robotics/Fast-Planner")