CS455 - AI

CS455 - AI

Projects from the class I took on Artificial Intelligence. (in Unity).

M1-PR1 - Seek and Flee

This adds seek/flee behavior to the example project that we started as our first assignment. This is an extension of the demo projectcubethon.
This demo uses the "A" and "D" keys.

play

M1-PR2 - Kinematic Movement, Movement Behaviors Demo

This demo shows various movement behaviors implemented in Unity. These movement behaviors include, Align, Arrive, Face, Path Follow, Pursue, Seek, Separate, and Wander.

play

M1-PR4 - Kinematic Movement, Dynamic Movement, and Obstacle Avoidance

For this assignment, we were tasked with combining our movement behaviors using flocking. The main purpose of flocking is to create more complicated movements by combining/prioritizing different behaviors.
The objective in this game is to get the squares in their respective zones. The squares will run away from the white one, while avoiding the walls.
This demo uses the position of the mouse on screen for controls.

play

M2-PR1 - Pathfinding

For this assignment, we were tasked with implementing Djikstra's algorithm with tactical pathfinding. This means that the pathfinder would add weight to a node for reasons other than distance. One use of this is for terrain or other barriers that would slow the actor down if using distance only.
This demo uses the mouse, click on a node to pathfind to it.

play

M2-PR 1.2 - Nav Meshes

This assignment uses the nav-mesh system in unity. it includes off-mesh jumps, and vertical elements.
This demo uses the mouse, click on a location to pathfind to it.

play

M2-PR3 - Behavior Trees

This assignment uses behavior (decision) trees in order to determine the tasks/task order of an AI agent.
The controls for this demo are on-screen.

play

M3-DV1 - Machine Learning

This assignment has us use machine learning for a go to target algorithm.

play