feat: Introduce ryot_brain crate for advanced NPC behaviors #121
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Introduces the `ryot_brain` crate, adding advanced decision-making capabilities for NPCs within Bevy-based game environments. This crate leverages the `big_brain` crate to implement modules for target detection (`find_closest`) and path following (`follow_path`). These modules integrate with `ryot_pathfinder` and other related crates to provide dynamic, context-aware behaviors for NPCs, enhancing their interactivity and realism in gameplay. - Implement `find_closest` module for target detection and engagement. - Develop `follow_path` module for intelligent path following and dynamic recalculations. - Utilize `big_brain` thinkers and scorers for modular, extensible AI behaviors.
introduce ammend path make path finding action event driven pass Arc to navigable check
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Overview
This PR introduces
ryot_brain, a new crate designed to enhance NPC behavior with advanced decision-making capabilities in Bevy-based games. Leveraging the big_brain crate,ryot_brainadds sophisticated AI behaviors through two primary modules:find_closestandfollow_path. These modules integrate closely withryot_pathfinderand otherryotfamily crates to provide context-aware pathfinding and target tracking functionalities.Features
Goals
The goal of
ryot_brainis to provide game developers with tools to create more dynamic and intelligent NPCs, enhancing player engagement and game complexity without the need for intricate boilerplate code.Integration
ryot_brainis designed to seamlessly integrate with existing Bevy projects and is particularly tailored to work withryot_pathfinderfor enhanced movement and navigation capabilities.