projectile-trajectory
ai-series-part-38
| projectile-trajectory | ai-series-part-38 | |
|---|---|---|
| 1 | 1 | |
| 14 | 11 | |
| - | - | |
| 1.8 | 0.0 | |
| almost 2 years ago | about 2 years ago | |
| ShaderLab | ShaderLab | |
| MIT License | MIT License |
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projectile-trajectory
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Need to show the path of a projectile? Not paying attention in Physics catching up to you? No problem! Learn how to draw the trajectory of a projectile would take using a LineRenderer and one of those pesky physics formulas you said you'd never use again!
As always, the full project for this video is available on GitHub!
ai-series-part-38
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Learn how to create your very own Companion AI! In this tutorial video you will learn how to create a companion that follows the player when the player moves, rotates around the player when idle, and attacks nearby Attackable GameObjects when they come within range!
As always, the full project is available on GitHub!
What are some alternatives?
persistent-data - Learn how to save and load data in Unity - avoiding common mistakes and dangerous serialization techniques many other tutorials will tell you to use!
ai-series-part-39 - Learn how to transform your fully animated NavMeshAgents and transform them into a Ragdoll on death that eventually subtly fade out
raycasting-explained - In this tutorial repository I aim to make it really clear how each of the Ray, Sphere, Box, and Capsule casts work, look, behave, and how you can use each one of them to achieve your "casting" goals!
KinetixAIDemos - A sample Unity Project used to test Kinetix AI Features
ai-series-part-42 - Learn how to combine a Root Motion animated model with a NavMeshAgent. This gives you all the pathing benefits and local avoidance of the Navigation System with the precise animation you expect from Root Motion.
3d-model-ui-preview - Learn how to show animated 3D Models on your UI using a Canvas, Render Texture, and any 3d model
juicy-springs - Transform your simple, bland transitions and movement into juicy springy movement!
ai-series-part-40 - Learn how you can implement the jobs system to improve the performance of Line of Sight checking for your AI!