| Publisher | Aron Granberg |
|---|---|
| File size | 66.35MB |
| Number of files | 1910 |
| Latest version | 5.1.6 |
| Latest release date | 2024-08-06 07:27:23 |
| First release date | 2017-04-21 05:46:21 |
| Supported Unity versions | 2018.4.2 or higher |
The A* Pathfinding Project is a powerful and easy to use pathfinding system for Unity.
With blazing fast pathfinding your AIs will be able to find the player in complex mazes in no time at all.
Perfect for TD, FPS and RTS games.
Features:
Supports grid, navmesh, point and hexagonal graphs. Automatic navmesh generation to save you from doing it manually. Fully multithreaded so it will barely affect the frame rate. Path post-processing using raycasting, smoothing and using the funnel algorithm. A single line of code for a pathfinding call. Graphs can be saved to files. Local Avoidance both in the XZ and XY plane. Source code included. Supports updating graphs during runtime.
Includes a total of 16 example scenes to help you get started. Also, a comprehensive online documentation where almost all functions and variables are documented.
On the package website you can also find a beta version with many new features such as burst-powered graph scanning and local avoidance, improved APIs and many bug fixes.
Demos and videos
More info here!
Video
Perfect for TD, FPS and RTS games.
Features:
Supports grid, navmesh, point and hexagonal graphs. Automatic navmesh generation to save you from doing it manually. Fully multithreaded so it will barely affect the frame rate. Path post-processing using raycasting, smoothing and using the funnel algorithm. A single line of code for a pathfinding call. Graphs can be saved to files. Local Avoidance both in the XZ and XY plane. Source code included. Supports updating graphs during runtime.
Includes a total of 16 example scenes to help you get started. Also, a comprehensive online documentation where almost all functions and variables are documented.
On the package website you can also find a beta version with many new features such as burst-powered graph scanning and local avoidance, improved APIs and many bug fixes.
Demos and videos
More info here!
Video
