Beginner
Introduction to AI in Unreal Engine
Unreal Engine provides one of the most comprehensive built-in AI frameworks of any game engine, with behavior trees, environment queries, perception, and navigation all integrated out of the box.
UE5 AI Architecture
Unreal's AI system follows a controller-pawn architecture. The AI Controller is the "brain" that controls a Pawn (the physical character). This separation allows you to swap AI logic independently from character movement and visuals.
Core AI Components
| Component | Description |
|---|---|
| AIController | The brain that possesses a Pawn and runs behavior trees, manages blackboard, and processes perception |
| Behavior Tree | Visual decision-making system with tasks, decorators, and services |
| Blackboard | Shared knowledge base storing variables (enemy location, health, patrol point) |
| AI Perception | Sensory system simulating sight, hearing, touch, and custom senses |
| Navigation System | NavMesh-based pathfinding with crowd avoidance |
| EQS | Environment Query System for spatial reasoning (find cover, flanking positions) |
AI Perception System
The AI Perception System gives NPCs simulated senses. Instead of directly checking distances or line-of-sight in gameplay code, you configure perception components that automatically track stimuli.
- Sight: Configurable field of view, range, and age (how long remembered). Supports peripheral vision vs focused vision.
- Hearing: React to noise events with configurable range and loudness thresholds.
- Damage: Automatically perceive sources of damage.
- Touch: Physical contact detection.
- Custom senses: Create project-specific senses (smell, radar, telepathy).
C++ - Basic AI Controller Setup
// MyAIController.h #include "AIController.h" UCLASS() class AMyAIController : public AAIController { GENERATED_BODY() public: AMyAIController(); protected: virtual void OnPossess(APawn* InPawn) override; UPROPERTY(EditDefaultsOnly) UBehaviorTree* BehaviorTreeAsset; UPROPERTY(EditDefaultsOnly) UBlackboardData* BlackboardAsset; }; // MyAIController.cpp void AMyAIController::OnPossess(APawn* InPawn) { Super::OnPossess(InPawn); if (BlackboardAsset) { UseBlackboard(BlackboardAsset, BlackboardComp); } if (BehaviorTreeAsset) { RunBehaviorTree(BehaviorTreeAsset); } }
Blueprint vs C++ for AI
| Approach | Best For | Considerations |
|---|---|---|
| Blueprint | Rapid prototyping, designer-accessible AI, simple behaviors | Slower execution, can get messy at scale |
| C++ | Performance-critical AI, complex algorithms, reusable systems | Longer iteration time, requires programming expertise |
| Hybrid | Production games (recommended) | C++ base classes with Blueprint-exposed parameters |
Key takeaway: Unreal Engine's AI framework is built around the Controller-Pawn pattern with integrated behavior trees, blackboards, perception, and navigation. The recommended approach is to build AI systems in C++ and expose tuning parameters to Blueprints for designers.
Lilly Tech Systems