Endless VR Walk: Dynamic Mapping of Limited Physical Spaces into Infinite Linear Paths
Sofia Martinez, Reagan Haddix, Miles Haase, Angelos Barmpoutis
Abstract
Natural locomotion in virtual reality (VR) can provide a more immersive and engaging experience, but the physical space required for unrestricted walking is a significant limitation. This paper presents Endless VR Walk, a system for dynamically mapping a limited physical space into an effectively infinite linear virtual path. The approach uses a recursive path-generation algorithm to construct virtual blocks in real time as the user walks, while constraining the path to the available physical area and preventing spatial overlap. We evaluate path variability under different physical-space constraints and identify the smallest space that enables diverse path configurations. The resulting framework provides a platform for applications benefiting from extended walking, including physical therapy, rehabilitation, and fitness, as well as adaptations of traditional platformer and endless-runner games in VR.
Create a lesson
Related papers
SEAM: Situated Executable Associative Memory for a Co-located Community
Keru Wang, Michael Xu, Ken Perlin et al.
OmniScribble: Mixed-Initiative Authoring of Animated Sketches through Inspectable and Repairable AI Decisions
Hien Trinh, Tan-Hiep To, Trung-Nghia Le
Agentic Path Maps: Exposing an Agent's Traversal Through the Garden of Forking Paths
Madeleine Grunde-McLaughlin, Hafsah Usman, Daniel Mitroshkov et al.
Must AI Spell It Out? Pragmatic Comprehension of Alerts in a Time-Critical Task
Anwesha Das, Vera Demberg, Anna Maria Feit
From Benchmarks to Behaviors: A Framework for Auditing AI Agents
Nick Hagar
Proceedings of the CSCW 2026 Workshop on Women's Health as Cooperative Work: Participatory AI Across Care, Community, and Policy
Sherilyn Francis