In this first part, I set up the basics, mostly involving the player controller and weapon classes. I also have the enemy hide behind cover.

In this post, I describe how I built a custom grid as a basis for the enemy AI's pathfinding algorithm on my team's capstone project.

I created a weapon attachment and customisation system to have the different attachments affect my weapon stats in unique ways.

Inspired by a direction my capstone team considered taking our game, I decided to implement a stealth game enemy in Unreal Engine 4.

Influence Maps can be used in many different genres of games, here is what they are and how I applied them to a Tower Defense-style demo.

Pathfinding can be a very costly calculation, especially when dealing with large maps or a large number of units. Flow Fields can help!

This is the second version of the Smart Flocking algorithm I implemented, plus a new Swarming behaviour.

This AI technique is a combination of Wander Steering and Dynamic Obstacle Avoidance.

This AI technique is a combination of Flocking and Dynamic Obstacle Avoidance.