Packt

Mastering 3D Pathfinding with Octree

Packt

Mastering 3D Pathfinding with Octree

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

Recommended experience

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

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Implement efficient octree structures to manage spatial data in 3D environments.

  • Construct and optimize waypoint graphs for intelligent navigation logic.

  • Develop AI agents using A* algorithms integrated with octree data models.

  • Create scalable pathfinding systems for large and dynamic Unity-based projects.

Details to know

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Recently updated!

February 2026

Assessments

5 assignments

Taught in English

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There are 5 modules in this course

In this module, we will introduce the course structure and explain what you'll be learning about 3D pathfinding using octrees. You will also discover the advantages of engaging with the H3D Student Community to stay motivated and supported. Finally, we’ll guide you through updating your Unity project to version 6 to ensure smooth integration with the latest tools.

What's included

3 videos1 reading

In this module, we will explore the core concept of octrees, a data structure crucial for optimizing spatial partitioning in 3D environments. You'll learn how to implement octree base classes, add nodes, and split them to enhance performance. Additionally, we'll cover techniques for selectively dividing space and finding empty leaves to optimize pathfinding.

What's included

8 videos1 assignment

In this module, we will introduce the concept of waypoint graphs, a key component in navigation systems. You’ll learn how to create a graph architecture, add nodes, and connect them to form valid paths. We will also discuss techniques to streamline the graph by removing redundant edges for improved pathfinding efficiency.

What's included

5 videos1 assignment

In this module, we will dive deep into pathfinding principles and guide you through the implementation of the A* algorithm for 3D environments. You’ll learn how to build an AI that navigates using octree-based pathfinding, and test it in real-world scenarios. We’ll also teach you how to handle multiple AI agents, combine A* with octrees for scalability, and manage dynamic destinations for smooth AI movement.

What's included

12 videos1 assignment

In this module, Penny shares concluding thoughts and reflections on the course. You’ll get valuable insights into how to apply the knowledge gained throughout the course to real-world projects, along with encouragement to keep learning and experimenting with 3D pathfinding.

What's included

1 video2 assignments

Instructor

Packt - Course Instructors
Packt
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