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Developer Allie Bri showcased an interesting crowd simulation set up in Unreal Engine, adding collision and introducing a whopping 100,000 AI agents to a bunch of boxes that create a maze of sorts.
The agents need to navigate through the obstacles, and it's clear how the majority of them are stuck at the beginning of the maze, with only a handful reaching the end.
The simulation was set up with Nanite instanced static meshes with VAT and "a lot of custom C++." The project uses less than 1,000 MB of memory, according to Bri.
Allie Bri
"The animation portion of this right now is very limited. Instance/particle space to absolute world space. Animations are changed with material custom data values based on how they were baked – start & end frame with play rate."
Allie Bri
The work features:
- Local partitioning for static & dynamic collision
- Multi-objective vector flow fields for navigation/pathfinding
- Efficient behaviors running per instance parallel on CPU.
- Nanite instancing with vertex animated textures.
- Realtime simulation at ~10ms game thread for 100K agents.
I'm sure we will see even more AI agents running and completing more complicated tasks in the future. Meanwhile, take a look at this cute AI called Albert teaching himself to walk using deep reinforcement learning.
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