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Various interruptions to the daily lives of researchers have necessitated the usage of simulations in projects which may not have initially relied on anything other than physical inquiry and experiments. The programs and algorithms introduced in this paper, which is an extended version of research initially published in ARAIG And Minecraft: A COVID-19 Workaround, create an optimized search space and egress path to the initial starting point of a user's route using a modification ("mod") of the digital game Minecraft. We initially utilize two approaches for creating a search space with which to find edges in the resulting graph of the user's movement: a naive approach with the time complexity of O(n 2 ) and an octree approach, with the time complexity of O(nlogn). We introduce a basic A* algorithm to search through the resulting graph for the most efficient egress path. We then integrate our mod with the visualization tool for the "As Real As It Gets" (ARAIG) haptic suit, which provides a visual representation of the physical feedback the user would receive if he were to wear it. We finish this paper by asking a group of four users to test this program and their feedback is collected.