ai-series-part-3
ai-series-part-8
| ai-series-part-3 | ai-series-part-8 | |
|---|---|---|
| 1 | 2 | |
| 3 | 4 | |
| - | - | |
| 0.0 | 0.0 | |
| over 5 years ago | about 5 years ago | |
| ShaderLab | ShaderLab | |
| MIT License | MIT License |
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ai-series-part-3
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Adding Animations to NavMeshAgents | AI Series Part 3 | Full Tutorial in comments!
As always, all code from this tutorial is available on GitHub: https://github.com/llamacademy/ai-series-part-3 This project is the **END STATE** of this tutorial. You can follow along by opening the PREVIOUS project (https://github.com/llamacademy/ai-series-part-2)
ai-series-part-8
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Created a satisfying new ability for my wobbly physics based action RPG
As I said, its convoluted and there are easier ways, such as this tutorial I Just found: https://github.com/llamacademy/ai-series-part-8/blob/main/Assets/Scripts/HomingBullet.cs
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This week's tutorial adds homing bullets to the ranged AI, including random noise and a position curve. See full tutorial in comments
As always, full project code is available on GitHub
What are some alternatives?
bullet-impacts - In this tutorial you will learn how to create a basic RigidBody Bullet that on impact, will have a particle system play at the impact location based on the material of the object the bullet collides with.
ai-series-part-26 - In this tutorial repository you will learn how to select units with either a click. shift+click (to add/remove), and click+drag to bulk select units utilizing a singleton SelectionManager with automatically registering SelectableUnits that can have their path set with a right click of the mouse.
ai-series-part-9 - Full project of the end state of the AI Series Part 9 video where we dive deeper into ScriptableObjects and change to a Data-Oriented Design from our prefab-focused design.
ai-series-part-11 - Project for the tutorial on how to implement basic finite state machines for your AI in Unity.
ai-series-part-37 - In this tutorial repository and accompanying video you will learn how to make your NavMeshAgents break down obstacles that block their path. The agents will consider if a particular path is worth going through by breaking down the obstructions or if pathing around them is more worthwhile.