
Developed a novel pathfinding system for the columbiaspace/SUITS-HoloLens-25 repository, enabling dynamic navigation in HoloLens EVA scenarios. The solution introduced a FindPath algorithm operating on a grid-based obstacle map, with pathfinding initiated from EVA positions and real-time visualization through a custom PathDrawer tool. Built using C# and Unity, the implementation leveraged algorithm design and data structures to support debugging and design reviews, accelerating iteration cycles for autonomous navigation features. This work focused on enhancing navigation workflows by providing immediate visual feedback, laying a technical foundation for future expansion of autonomous capabilities within the project’s mixed reality environment.
May 2025 monthly summary for columbiaspace/SUITS-HoloLens-25: Delivered a novel pathfinding capability with PathDrawer visualization to support dynamic navigation on HoloLens EVA scenarios. The feature enables FindPath on a grid-based obstacle map with pathing initiated from EVA positions and includes visualization for debugging and design reviews. This work lays the groundwork for broader autonomous navigation capabilities and accelerated iteration cycles.
May 2025 monthly summary for columbiaspace/SUITS-HoloLens-25: Delivered a novel pathfinding capability with PathDrawer visualization to support dynamic navigation on HoloLens EVA scenarios. The feature enables FindPath on a grid-based obstacle map with pathing initiated from EVA positions and includes visualization for debugging and design reviews. This work lays the groundwork for broader autonomous navigation capabilities and accelerated iteration cycles.

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