
Developed the foundational Animal AI System for the NbcampUnreal/2nd-Team2-Final-Project repository, focusing on scalable architecture to support complex NPC behaviors. Leveraging Unreal Engine’s AI tools, including behavior trees and perception systems, the work enabled animal and helper bot entities to exhibit movement, attack, and state management. Data-driven design was emphasized through the creation of data tables in CSV format, allowing for flexible tuning of animal statistics and behaviors. The implementation in C++ established robust AI controllers and initial behavior tree setups, laying the groundwork for richer NPC interactions and streamlining the addition of future gameplay features within the project.
May 2025 Monthly Summary — NbcampUnreal/2nd-Team2-Final-Project. Key features delivered: Animal AI System Foundation—movement, attack, state management, behavior trees, perception configurations, and AI controllers for animals and helper bots; data tables for animal statistics enabling data-driven AI behavior. Major bugs fixed: None reported for May 2025. Overall impact: Establishes a scalable AI foundation that enables richer NPC interactions, improved tuning, and faster delivery of future gameplay features. Technologies/skills demonstrated: Unreal Engine AI (Behavior Trees, Perception, AI Controllers), data-driven design via Data Tables, and robust AI architecture for animals and helper bots. Commit: 0e4eb9ac66a06f12a8c7e27982934c04fd2aef3a.
May 2025 Monthly Summary — NbcampUnreal/2nd-Team2-Final-Project. Key features delivered: Animal AI System Foundation—movement, attack, state management, behavior trees, perception configurations, and AI controllers for animals and helper bots; data tables for animal statistics enabling data-driven AI behavior. Major bugs fixed: None reported for May 2025. Overall impact: Establishes a scalable AI foundation that enables richer NPC interactions, improved tuning, and faster delivery of future gameplay features. Technologies/skills demonstrated: Unreal Engine AI (Behavior Trees, Perception, AI Controllers), data-driven design via Data Tables, and robust AI architecture for animals and helper bots. Commit: 0e4eb9ac66a06f12a8c7e27982934c04fd2aef3a.

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