Jules Krabal enhanced the KaitoOwU/-PROTO-PFE-Profondeurs repository by delivering end-to-end improvements to nerve and ligament interactions, camera controls, and visual fidelity in a surgical simulation context. Using C++, Unreal Engine, and Blueprint, Jules implemented refined nerve ejection trajectories, attach-point following, and advanced camera behaviors such as angular buffering and roll-based effects. He developed new shaders and materials to differentiate nerves and ligaments, added heartbeat visuals, and integrated vibration feedback for more realistic simulation. Internal maintenance included a physics system refactor, DLL and build cleanups, and Niagara plugin integration, resulting in improved deployment efficiency and streamlined development workflows.
Month 2025-10 Highlights: Delivered end-to-end improvements to nerve/ligament interaction and camera controls, enhanced visual fidelity for nerves/ligaments/heart with new shaders and materials, and completed key internal maintenance (physics refactor, DLL/build cleanups, and Niagara plugin integration). These efforts improved realism, stability, and deployment efficiency, enabling faster iteration and clearer business value in surgical-simulation visuals.
Month 2025-10 Highlights: Delivered end-to-end improvements to nerve/ligament interaction and camera controls, enhanced visual fidelity for nerves/ligaments/heart with new shaders and materials, and completed key internal maintenance (physics refactor, DLL/build cleanups, and Niagara plugin integration). These efforts improved realism, stability, and deployment efficiency, enabling faster iteration and clearer business value in surgical-simulation visuals.
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