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You're reading from  Unity 5.x Game AI Programming Cookbook

Product typeBook
Published inMar 2016
PublisherPackt
ISBN-139781783553570
Edition1st Edition
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Author (1)
Jorge Palacios
Jorge Palacios
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Jorge Palacios

Jorge Palacios is a software and game developer with a BS in computer science and eight years of professional experience. He's been developing games for the last five years in different roles, from tool developer to lead programmer. Mainly focused on artificial intelligence and gameplay programming, he is currently working with Unity and HTML5. He's also a game-programming instructor, speaker, and game-jam organizer.
Read more about Jorge Palacios

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Avoiding agents


In crowd-simulation games, it would be unnatural to see agents behaving entirely like particles in a physics-based system. The goal of this recipe is to create an agent capable of mimicking our peer-evasion movement.

Getting ready

We need to create a tag called Agent and assign it to those game objects that we would like to avoid, and we also need to have the Agent script component attached to them.

An example of how should look the Inspector of a dummy agent to avoid

How to do it...

This recipe will require the creation and handling of just one file:

  1. Create the AvoidAgent behavior, which is composed of a collision avoidance radius and the list of agents to avoid:

    using UnityEngine;
    using System.Collections;
    using System.Collections.Generic;
    
    public class AvoidAgent : AgentBehaviour
    {
        public float collisionRadius = 0.4f;
        GameObject[] targets;
    }
  2. Implement the Start function in order to set the list of agents according to the tag we created earlier:

    void Start ()
    {
        targets = GameObject.FindGameObjectsWithTag("Agent");
    }
  3. Define the GetSteering function:

    public override Steering GetSteering()
    {
        // body
    }
  4. Add the following variables to compute distances and velocities from agents that are nearby:

    Steering steering = new Steering();
    float shortestTime = Mathf.Infinity;
    GameObject firstTarget = null;
    float firstMinSeparation = 0.0f;
    float firstDistance = 0.0f;
    Vector3 firstRelativePos = Vector3.zero;
    Vector3 firstRelativeVel = Vector3.zero;
  5. Find the closest agent that is prone to collision with the current one:

    foreach (GameObject t in targets)
    {
        Vector3 relativePos;
        Agent targetAgent = t.GetComponent<Agent>();
        relativePos = t.transform.position - transform.position;
        Vector3 relativeVel = targetAgent.velocity - agent.velocity;
        float relativeSpeed = relativeVel.magnitude;
        float timeToCollision = Vector3.Dot(relativePos, relativeVel);
        timeToCollision /= relativeSpeed * relativeSpeed * -1;
        float distance = relativePos.magnitude;
        float minSeparation = distance - relativeSpeed * timeToCollision;
        if (minSeparation > 2 * collisionRadius)
            continue;
        if (timeToCollision > 0.0f && timeToCollision < shortestTime)
        {
            shortestTime = timeToCollision;
            firstTarget = t;
            firstMinSeparation = minSeparation;
            firstRelativePos = relativePos;
            firstRelativeVel = relativeVel;
        }
    }
  6. If there is one, then get away:

    if (firstTarget == null)
        return steering;
    if (firstMinSeparation <= 0.0f || firstDistance < 2 * collisionRadius)
        firstRelativePos = firstTarget.transform.position;
    else
        firstRelativePos += firstRelativeVel * shortestTime;
    firstRelativePos.Normalize();
    steering.linear = -firstRelativePos * agent.maxAccel;
    return steering;

How it works...

Given a list of agents, we take into consideration which one is closest, and if it is close enough, we make it so the agent tries to escape from the expected route of that first one according to its current velocity so that they don't collide.

There's more

This behavior works well when combined with other behaviors using blending techniques (some are included in this chapter); otherwise it's a starting point for your own collision avoidance algorithms.

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Unity 5.x Game AI Programming Cookbook
Published in: Mar 2016Publisher: PacktISBN-13: 9781783553570
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Author (1)

author image
Jorge Palacios

Jorge Palacios is a software and game developer with a BS in computer science and eight years of professional experience. He's been developing games for the last five years in different roles, from tool developer to lead programmer. Mainly focused on artificial intelligence and gameplay programming, he is currently working with Unity and HTML5. He's also a game-programming instructor, speaker, and game-jam organizer.
Read more about Jorge Palacios