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Unity学习日志番外：简易行为树

news 来源：原创 2025/5/18 22:22:46

Unity简单行为树

- - 参考与代码来自b站-ANVER-大佬
  - 教学视频
  - 以下都是一种固定模板结构，便于外部以及新项目引用。
  - 1.BehaviorTree类
  - 2.Node类
  - 3.composite
  - 4.Sequence
  - 5.Selector
  - 6.Task
  - 7.Blackboard
  - 8.实例
  - - ①兔子行为树
    - ②巡逻任务
    - ③探测萝卜任务
    - ③吃萝卜任务
  - 个人对行为树的理解

参考与代码来自b站-ANVER-大佬

教学视频

以下都是一种固定模板结构，便于外部以及新项目引用。

1.BehaviorTree类

一个BehaviorTree应该包括：
1.Node节点的定义与声明。

2.Blackboard充当大脑用于存储string映射到object的键值对，因为object是所有类型的基类，在转化的过程中会产生很多的拆装箱影响性能，不过由于行为树本身就不是什么庞大（1e6甚至更多那种）底层由哈希表实现在没有哈希冲突的前提下是O（1）的时间复杂度，又由于数据范围很小所以基本不会哈希碰撞,哈希碰撞会导致时间复杂度提高到O(n)。
3.类似状态机结构中的玩家脚本，行为树脚本也是直接挂载在主物体身上的，所以在结构上需要有Blackboard，以及任务或者树的初始状态，类似状态机一开始是处于IdleState，并且在awake的时候获取它和声明它们。
5.在Update里初始化的方法应该是根节点的评估方法。


using JetBrains.Annotations;
using UnityEngine;

namespace BehaviourTrees
{
    [RequireComponent(typeof(Blackboard))]
    public class BehaviourTree : MonoBehaviour
    {
        private Node root;

        public Node Root
        {
            get => root;
            protected set => root = value;
        }

        private Blackboard blackboard;

        [UsedImplicitly]
        private void Awake()
        {
            blackboard = GetComponent<Blackboard>();
            OnSetup();
        }

        public Blackboard Blackboard
        {
            get => blackboard;
            set => blackboard = value;
        }

        [UsedImplicitly]
        // Update is called once per frame
        void Update()
        {
            root?.Evaluate(gameObject.transform, blackboard);
        }

        protected virtual void OnSetup()
        {
        }
    }
}

2.Node类

一个Node类应该包括：
1.currentState目前的状态{Failure = 0, Success, Running}。
2.该节点的父节点以及该节点的子节点。
3.评估节点状态逻辑函数。

using System;
using System.Collections.Generic;
using UnityEngine;

namespace BehaviourTrees
{
    public enum Status
    {
        Failure = 0,
        Success,
        Running
    }

    public abstract class Node
    {
        protected Node parent;
        protected List<Node> children = new List<Node>();
        
        public Status status { get; protected set; }


        public Status Evaluate(Transform agent, Blackboard blackboard)
        {
            status = OnEvaluate(agent, blackboard);
            return status;
        }

        protected abstract Status OnEvaluate(Transform agent, Blackboard blackboard);
    }

}

3.composite

复合结构直接继承于Node用于被Sequence和Selector继承

4.Sequence

Sequence：Sequence的逻辑是AND，要求当前队列下的所有子节点都要是Success才返回success否者返回Failure，如果还在执行返回Running。

using System.Collections.Generic;
using System.Linq;
using UnityEngine;

namespace BehaviourTrees
{
    public class Sequencer : Composite
    {
        public Sequencer(List<Node> children)
        {
            this.children = children;
        }

        protected override Status OnEvaluate(Transform agent, Blackboard blackboard)
        {
            bool isRunning = false;
            bool success = children.All((child) =>
            {
                Status status = child.Evaluate(agent, blackboard);
                switch (status)
                {
                    case Status.Failure:
                        return false;
                    case Status.Running:
                        isRunning = true;
                        break;
                }

                return status == Status.Success;
            });

            return isRunning ? Status.Running : success ? Status.Success : Status.Failure;
        }
    }
}

5.Selector

Selector：一个Selector的逻辑是or,要求当前队列下的所有子节点都要是failure才返回Failure否者返回Success，如果还在执行返回Running。

using System.Collections.Generic;
using System.Linq;
using UnityEngine;

namespace BehaviourTrees
{
    public class Selector : Composite
    {
        public Selector(List<Node> children)
        {
            this.children = children;
        }

        protected override Status OnEvaluate(Transform agent, Blackboard blackboard)
        {
            bool isRunning = false;
            bool failed = children.All((child) =>
            {
                Status status = child.Evaluate(agent, blackboard);
                if (status == Status.Running) isRunning = true;
                return status == Status.Failure;
            });

            return isRunning ? Status.Running : failed ? Status.Failure : Status.Success;
        }
    }
}

6.Task

Task继承于Node应该对Node中的评估方法Evaluate进行重写，用于描述挂载脚本物体的逻辑。

7.Blackboard

using System.Collections;
using System.Collections.Generic;
using Unity.VisualScripting.YamlDotNet.Core.Tokens;
using UnityEngine;

namespace BehavioursTree
{
    public class Blackboard : MonoBehaviour
    {
        private Dictionary<string, object> data = new Dictionary<string, object>();

        public T Get<T>(string key)
        {
            if (data.TryGetValue(key, out object value)) return (T)value;
            return default(T);
        }

        public void Add<T>(string key, T value)
        {
            data.Add(key, value);
        }
        public bool Remove<T>(string key)
        {
            if (data.ContainsKey(key))
            {
                data.Remove(key);
                return true;
            }
            return false;
        }
    }
}

8.实例

①兔子行为树

using BehaviourTrees;
using System.Linq;
using UnityEngine;

public class RabbitBehaviourTree : BehaviourTree
{
    [SerializeField] private Transform[] waypoints = null;
    [SerializeField] private float speed = 10.0f;

    protected override void OnSetup()
    {
        Blackboard.Add("speed", speed);
        var patrolTask = new PatrolTask(waypoints);

        var seeCarrotTask = new SeeCarrotTask();
        var catchCarrotTask = new CatchCarrotTask();

        Node[] sequencerChildren = { seeCarrotTask, catchCarrotTask };
        var sequencer = new Sequencer(sequencerChildren.ToList());

        Node[] selectorChildren = { sequencer, patrolTask };
        var selector = new Selector(selectorChildren.ToList());

        Root = selector;
    }
}
AWAKE
        private void Awake()
        {
            blackboard = GetComponent<Blackboard>();
            OnSetup();
        }
UPDATE
		void Update()
		{
		    root?.Evaluate(gameObject.transform, blackboard);
		}

在这里插入图片描述

这里的兔子行为树定做了：
1.声明巡逻任务。
2.声明探测到萝卜任务。
3.声明吃萝卜任务。
4.声明一个Sequence包含两个子节点①探测到萝卜②吃萝卜。
5.声明一个Seletor包含两个子节点①Sequence②巡逻。

②巡逻任务

using BehaviourTrees;
using UnityEngine;

public class PatrolTask : Task
{
    private int currentIndex;
    private Transform[] waypoints;


    public PatrolTask(Transform[] waypoints)
    {
        this.waypoints = waypoints;
        currentIndex = 0;
    }

    protected override Status OnEvaluate(Transform agent, Blackboard blackboard)
    {
        float speed = blackboard.Get<float>("speed");
        Transform currentWaypoint = waypoints[currentIndex];
        bool arrived = Vector2.Distance(agent.position, currentWaypoint.position) < 0.1f;
        if (arrived)
        {
            // update current index
            ++currentIndex;
            currentIndex %= waypoints.Length;
        }

        agent.position = Vector2.MoveTowards(agent.position, currentWaypoint.position, speed * Time.deltaTime);

        return Status.Running;
    }
}

巡逻任务包括1：n个巡逻点可以通过Inspector拖动赋值。
2：评估的主要逻辑。

③探测萝卜任务

using System.Collections;
using System.Collections.Generic;
using BehaviourTrees;
using UnityEngine;

public class SeeCarrotTask : Task
{
    private float radius = 2.0f;

    protected override Status OnEvaluate(Transform agent, Blackboard blackboard)
    {
        var colliders = Physics2D.OverlapCircleAll(agent.position, radius);
        if (colliders == null) return Status.Failure;

        foreach (Collider2D collider in colliders)
        {
            if (!collider.CompareTag("Carrot")) continue;
            blackboard.Add("carrot", collider.gameObject);
            return Status.Success;
        }

        return Status.Failure;
    }
}

探测萝卜任务应该包括：
1.探测半径。

③吃萝卜任务

using System.Collections;
using System.Collections.Generic;
using BehaviourTrees;
using UnityEngine;

public class CatchCarrotTask : Task
{
    protected override Status OnEvaluate(Transform agent, Blackboard blackboard)
    {
        var carrot = blackboard.Get<GameObject>("carrot");
        var speed = blackboard.Get<float>("speed");

        if (carrot == null) return Status.Failure;

        if (Vector2.Distance(agent.position, carrot.transform.position) <= 0.01f)
            return Status.Success;

        Vector2 position = Vector2.MoveTowards(agent.position, carrot.transform.position, speed * Time.deltaTime);
        position.y = agent.position.y;
        agent.position = position;
        return Status.Running;
    }
}

吃萝卜逻辑：
检测之前在探测萝卜任务中加入到大脑的萝卜object，使用Movetowards进行两点间的移动。

个人对行为树的理解

**行为树的核心机制就是每一帧从根节点开始遍历其子节点，并根据子节点的状态调用对应的 Evaluate 方法。这种行为树的运行方式是典型的深度优先遍历，并且是基于帧的更新（Frame-based Update）。**在这个案例中Selector含有对Sequence和巡逻Task的引用，遍历的顺序就是：注意箭头顺序
在这里插入图片描述
Selector->{Sequence{找萝卜 -> 吃萝卜} -> 巡逻} -> 循环