ue-ai-navigation

To set up AIController and Behavior Trees for NPC pathfinding in Unreal Engine 5, you create an AIController class to manage perception and link it to a Behavior Tree asset. This Skill provides C++ code examples to configure Blackboard and execute complex navigation behaviors.

EQS (Environment Query System) handles spatial reasoning for AI in UE5 by evaluating specific positions in the environment based on defined criteria. It allows NPCs to find optimal cover, attack positions, or escape routes during Behavior Tree execution.

Yes, you can use State Trees instead of Behavior Trees for complex AI state management. This Skill covers State Trees as an advanced system, providing technical guidance on managing intricate NPC logic alongside traditional Behavior Tree and Blackboard architectures.

Yes, this guidance covers NavMesh generation and dynamic obstacle avoidance as core navigation features. It provides technical references for implementing pathfinding and configuring the Navigation System to handle complex environments in Unreal Engine.

To make an enemy AI perceive the player and take cover, you configure the AIController's Perception component and use EQS queries to evaluate nearby cover positions. The Behavior Tree then transitions states based on perceived stimuli to execute the cover behavior.