Building Perceptive AI in Unreal Engine

Building Perceptive AI in Unreal Engine

In this series I will be showing how to set up two different AI designs, one for a shooter experience, and one for a RPG style AI. We will cover blackboard and behaviour trees, EQS queries, and the AI perception component using sight, sound and damage stimuli.

The Shooter example will be a longer, slower example where we will explain everything as we go, and it will use sight and sound to give it elements of stealth AI, along with a working shooting system driven by the AI controller and it's behaviour tree.

The Magic AI example will be a more concise, straight to the point demonstration of a different way of working compared to the shooter example, and we will utilise sight and damage stimuli to make a reactionary AI who is able to heal, cast spells, and teleport away from the user using a EQS query. This series also includes a large overview of the EQS system and how to many of the tests work.

AI Perception, Behaviour Trees, and EQS

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What you will learn

• In this series we will be learning how to implement a perceptive AI solution where the AI will sense you via sight and hearing
• We will also look at how to setup behavour trees and blackboard to react to the player, with shooting mechanics and ability activations
• We will be using blueprint throughout, and no C++ will be required to make this work

Rating: 4.85

Level: Beginner Level

Duration: 10.5 hours

Instructor: Daniel Orchard