FSM - sunbang123/study_report GitHub Wiki

public interface IEnemyState
{
   void EnterState(EnemyFSM enemy);
   void UpdateState(EnemyFSM enemy);
   void ExitState(EnemyFSM enemy);
}

public IdleState : IEnemyState
{
   public void EnterState(EnemyFSM enemy)
   {
   }

   public void UpdateState(EnemyFSM enemy)
   {
       if(Time.time - enemy.StateEnterTime > 2f)
       {
           enemy.SwitchState(new PatrolState());
       }
   }
     // ...
}

public class EnemyFSM : MonoVehaviour
{
   public Movement2D movement2D;
   private IEnemyState currentState;
   public float StateEnterTime { get; private set; }
   public Vector3 MoveDirection { get; private set; }

    private void Awake()
    {
        movement2D = GetComponent<Movement2D>();
    }

    private void Start()
    {
        SwitchState(new IdleState());
    }

    private void Update()
    {
        currentState?.UpdateState(this);
    }
    
    public void SwitchState(IEnemyState newState)
    {
        currentState?.ExitState(this);
        currentState = newState;
        StateEnterTime = Time.time;
        currentState.EnterState(this);
    }   
     // ...
}


public enum Direction
{
   Up,
   Left,
   Right,
   Down,
   Count
}

[딥러닝 모델]
  └─ 입력: 현재 상태, 주변 정보
  └─ 출력: 다음 상태 예측
          예) Attack, Patrol, Idle

[EnemyFSM]
  └─ 상태 전환: 딥러닝 모델의 예측 결과에 따라 상태 전환
  └─ 상태 동작: 상태 패턴 기반으로 코딩 (예: Move, Attack)