Implementing Movement and Decision-Making Systems

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive into the world of AI-driven vehicles and intelligent movement systems with this hands-on course. You will learn to program complex AI behaviors such as autonomous navigation, decision-making, and vehicle physics. The course covers topics like wheel physics, navigation meshes, finite state machines (FSMs), and autonomous movement patterns, empowering you to create dynamic, interactive agents that respond to their environment. The journey begins with vehicle physics, where you'll configure wheel colliders, apply forces, and set up a circuit with waypoints. Next, you’ll explore navigation meshes in Unity, optimizing AI movement through NavMesh agents and teaching characters how to follow and interact with players. The course also introduces the concept of finite state machines to structure your AI agents’ decision-making process, from patrolling to chasing and evading. This course is tailored for game developers looking to enhance their AI systems with advanced movement and decision-making capabilities. While it is ideal for intermediate learners, prior experience with Unity and basic programming concepts is recommended. By the end, you will have a deep understanding of how to implement autonomous agents in game environments and refine their behaviors for enhanced realism.