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Devlog 2024 | Walker AI | Moons of Darsalon | Devlog EP11

https://store.steampowered.com/app/12... Welcome to the devlog series on the game development of Moons of Darsalon! In this episode, we dive deep into the Walker AI system that allows NPCs to navigate the complex 2D terrain of this indie game. Unlike traditional platformer games, where enemies are confined to a single platform or follow simple patterns, the Darsanauts in Moons of Darsalon use artificial intelligence to dynamically react to their environment, improvising their path without pre-determined routes or typical pathfinding algorithms. We also explore how this AI handles jump sensors, platforms, and how Darsanauts can roam freely across maps, climbing, and platforming intelligently, something not commonly seen in typical 2D games. The episode also focuses on the technical aspects of performance, using multiple raycast sensors to detect terrain, and how we’ve optimized the AI to balance complexity with efficiency in this indie game. We’ll discuss how the Darsanauts manage terrain irregularities and navigate without a traditional pathfinding system. Additionally, we’ll show you the debug mode that visualizes each raycast, offering insight into the game development process. If you’re curious about the challenges of building artificial intelligence in a platformer and how generative AI integrates into the gameplay, this dev log covers everything you need to know. Through this deep dive, we’ll compare the Darsanauts’ AI to other notable platformers, like Hollow Knight, highlighting how the AI in Moons of Darsalon brings a fresh approach to NPC movement and interaction. This video will be invaluable for those interested in indie game design, AI systems, or game development tutorials. If you're passionate about 2D games, developing smarter NPCs, or understanding how AI works in the context of indie games, you’ll find this video particularly insightful.