Enhancing Game Development Efficiency: A Reusable AI Pathfinding Framework for 2D Platformer Games

Navigating between platforms in the development of 2D platformer games is a significant challenge for developers. This complexity arises from determining the path of a character between platforms while considering various variables such as movement speed, gravity, and obstacles. To address these challenges, this study proposes the development of a pathfinding package specifically designed to address these issues. The package implements two main features: platform graph creation and platform navigation. The platform graph maps the game level in detail, while the platform navigation feature allows characters to move efficiently between platforms. The testing was carried out using two methods: execution time testing for the creation of the platform graph and prototype testing on two different platformer games. The results demonstrate that the package effectively provides a reliable navigation solution for platformer games, with platform graph creation execution times varying depending on the level size. Furthermore, the experiment results indicate that the pathfinding package has been successfully implemented and applied to other platformer games, showcasing its reusability. This package can help game developers create better character navigation and improve gameplay quality in platformer games.