Packt
Implementing Movement and Decision-Making Systems

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Packt

Implementing Movement and Decision-Making Systems

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn how to implement vehicle physics, including wheel colliders, forces, and AI-controlled driving.

  • Develop AI decision-making systems using finite state machines to manage complex behaviors like chasing and patrolling.

  • Create realistic agent movement with navigation meshes, optimizing pathfinding and interaction with obstacles.

  • Program autonomous behaviors, such as wandering, evading, hiding, and pursuing, to create dynamic game characters.

Details to know

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Recently updated!

September 2025

Assessments

6 assignments

Taught in English

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This course is part of the AI Game Development Essentials with Unity 6 Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

In this module, we will cover vehicle physics, including wheel configuration, driving forces, and pathfinding techniques for AI-controlled cars. You’ll also implement complex vehicle behaviors like braking, avoidance, and circuit driving.

What's included

14 videos2 readings1 assignment1 plugin

In this module, we will dive into Unity's Navigation Mesh system and show you how to use it for complex AI movement. From setting up simple agents to following players and using off-mesh links, you’ll gain practical skills for creating navigational AI.

What's included

6 videos1 assignment1 plugin

In this module, we will introduce finite state machines (FSMs) and their importance in controlling AI behavior. You’ll learn to create an AI controller to manage state transitions like patrolling, chasing, and even fleeing from threats.

What's included

7 videos1 assignment1 plugin

In this module, we will explore how to implement various autonomous movement behaviors like seeking, fleeing, and evading. You'll also refine complex behaviors like hiding and wandering, making your AI agents smarter and more adaptable to their environment.

What's included

9 videos1 reading3 assignments1 plugin

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Instructor

Packt - Course Instructors
Packt
934 Courses199,977 learners

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Packt

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