Book Image

Unity 2020 By Example - Third Edition

By : Robert Wells
Book Image

Unity 2020 By Example - Third Edition

By: Robert Wells

Overview of this book

The Unity game engine, used by millions of developers around the world, is popular thanks to its features that enable you to create games and 3D apps for desktop and mobile platforms in no time. With Unity 2020, this state-of-the-art game engine introduces enhancements in Unity tooling, editor, and workflow, among many other additions. The third edition of this Unity book is updated to the new features in Unity 2020 and modern game development practices. Once you’ve quickly got to grips with the fundamentals of Unity game development, you’ll create a collection, a twin-stick shooter, and a 2D adventure game. You’ll then explore advanced topics such as machine learning, virtual reality, and augmented reality by building complete projects using the latest game tool kit. As you implement concepts in practice, this book will ensure that you come away with a clear understanding of Unity game development. By the end of the book, you'll have a firm foundation in Unity development using C#, which can be applied to other engines and programming languages. You'll also be able to create several real-world projects to add to your professional game development portfolio.

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Table of Contents (16 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Get in touch
Reviews
1
Chapter 1: Exploring the Fundamentals of Unity
Chapter 1: Exploring the Fundamentals of Unity
Technical requirements
Exploring new features in Unity 2020
Introducing the first game
Starting a level
Testing the game
Improving the scene
Saving the scene
Summary
Test your knowledge
Further reading
Free Chapter
2
Chapter 2: Creating a Collection Game
Chapter 2: Creating a Collection Game
Technical requirements
Working with Materials
Scripting in Unity
Recording the total coin count
Working with prefabs
Creating a timer
Playtesting
Building the game
Summary
Test your knowledge
Further reading
3
Chapter 3: Creating a Space Shooter
Chapter 3: Creating a Space Shooter
Technical requirements
Looking ahead – the completed project
Starting the project
Importing assets
Creating the player object
Configuring the cameras
Creating a Health component
Creating the explosive particle system
Creating the enemy object
Spawning enemies
Summary
Test your knowledge
Further reading
4
Chapter 4: Continuing the Space Shooter Game
Chapter 4: Continuing the Space Shooter Game
Technical requirements
Creating the projectile system
Customizing controls
Creating the score system
Adding the final touches
Summary
Test your knowledge
Further reading
5
Chapter 5: Creating a 2D Adventure Game
Chapter 5: Creating a 2D Adventure Game
Technical requirements
Getting started
Configuring the game view
Creating an environment
Adding post-processing effects
Implementing environmental physics
Creating a 2D player
Moving the player
Optimizing using sprite packing
Summary
Test your knowledge
Further reading
6
Chapter 6: Continuing the 2D Adventure
Chapter 6: Continuing the 2D Adventure
Technical requirements
Constructing additional scenes
Implementing moving platforms
Implementing player kill zones
Creating the UI health bar
Summary
Test your knowledge
Further reading
7
Chapter 7: Completing the 2D Adventure
Chapter 7: Completing the 2D Adventure
Technical requirements
Adding gun turrets
Creating an NPC
Implementing a quest system
Summary
Test your knowledge
Further reading
8
Chapter 8: Creating Artificial Intelligence
Chapter 8: Creating Artificial Intelligence
Technical requirements
Looking ahead – an overview of the project
Importing assets
Constructing the terrain
Generating the navigation mesh
Implementing the NPC
Testing navigation
Animating the NPC
Patrolling the environment
Entering the world
Summary
Test your knowledge
Further reading
9
Chapter 9: Continuing with Intelligent Enemies
Chapter 9: Continuing with Intelligent Enemies
Technical requirements
Providing the enemy with sight
Implementing the FSM
Patrolling the environment
Chasing the player
Attacking the player
Summary
Test your knowledge
Further reading
10
Chapter 10: Evolving AI Using ML-Agents
Chapter 10: Evolving AI Using ML-Agents
Technical requirements
Introducing ML-Agents
Setting the scene
Importing assets
Installing ML-Agents
Creating the environment
Spawning objects
Creating the Agent
Training the Agent
Embedding the model
Summary
Test your knowledge
Further reading
11
Chapter 11: Entering Virtual Reality
Chapter 11: Entering Virtual Reality
Technical requirements
Preparing the project
Creating scene lighting
Preparing for VR
Test your knowledge
Further reading
12
Chapter 12: Completing the VR Game
Chapter 12: Completing the VR Game
Technical requirements
Spawning objects
Creating the enemy
Implementing a damage system
Summary
Test your knowledge
Further reading
13
Chapter 13: Creating an Augmented Reality Game Using AR Foundation
Chapter 13: Creating an Augmented Reality Game Using AR Foundation
Technical requirements
Introducing the project
Getting started with AR
Creating an AR scene
Placing an object in the world
Testing on devices
Implementing AR in the URP
Summary
Test your knowledge
Further reading
14
Chapter 14: Completing the AR Game with the Universal Render Pipeline
Chapter 14: Completing the AR Game with the Universal Render Pipeline
Technical requirements
Detecting planes
Adding a placement marker
Placing objects in the world
Post-processing in the URP
Summary
Test your knowledge
Further reading
15
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Introducing ML-Agents

First released in September 2017, ML-Agents has rapidly evolved with the input from ML scientists, game developers, and the wider Unity fanbase due to its open source nature. This rapid progress can, at times, make it challenging to learn how to use it, with many tutorials quickly becoming outdated. However, with the release of version 1 of ML-Agents, these significant backward-incompatible updates should slow down as the project stabilizes. This means it is a great time to jump into the world of ML in Unity!

The ML-Agents toolkit consists of the following:

  • The ML-Agents Unity package: This provides everything we need to implement an Agent inside the Unity environment.
  • The mlagents Python package: Contains the ML algorithms that we will use to train the Agent.
  • The mlagents_env Python package: Provides the functionality for Unity and the ML algorithms to talk to each other. mlagents relies on this.
  • The gym_unity Python package: A wrapper...
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