TEJAS Journal of Technologies and Humanitarian Science

ISSN : 2583-5599

Open Access | Quarterly | Peer Reviewed Journal


Blade Master: AI-Driven Melee Combat in Unreal Engine 5


Abdul Quadir

Scholar, Department of Computer Science & Engineering , KIPM College of Engineering and Technology, U.P., India

Abhishek Kumar

Scholar, Department of Computer Science & Engineering, KIPM College of Engineering and Technology, U.P., India

Rahul kumar

Scholar, Department of Computer Science & Engineering, KIPM College of Engineering and Technology, U.P., India

R. K. Pandey

Assistant Professor, Department of Computer Science & Engineering, KIPM College of Engineering and Technology, U.P., India


📌 DOI: https://doi.org/10.63920/tjths.52026

🔑 Keywords: Blade Master; Unreal Engine 5; Sword Combat; AI Behavior; Blueprints; Game Development; Niagara Effects;

📅 Publication Date: 23 April 2026

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Abstract:

Blade Master is a third-person sword combat game developed using Unreal Engine 5, designed to deliver realistic one-on-one melee combat with accessible controls and strategic gameplay depth. The project utilizes Unreal Engine’s Blueprint visual scripting system to implement core mechanics such as weapon handling, attack combos, enemy AI behavior, and real-time collision detection without extensive manual coding. The enemy AI is developed using Behavior Trees and Environment Query System (EQS) to enable adaptive combat behavior, including chasing, attacking, and defensive responses. Visual feedback is enhanced using the Niagara particle system, while physics-based interactions are handled through Unreal Engine’s Chaos Physics system. The game is optimized to run at approximately 60 FPS on mid-range hardware. This paper presents the system architecture, development methodology, performance evaluation, and future scope, including multiplayer expansion and virtual reality integration. The project demonstrates the effectiveness of modern game engines in building high-quality interactive combat systems within a student development environment

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📖 How to Cite

Abdul Q., Abhishek K., Rahul K, R.K. P. (2026). Blade Master: AI-Driven Melee Combat in Unreal Engine 5 . TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52026

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