Robo-Saber: Generating and Simulating Virtual Reality Players
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Date
2026
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in-game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR-23 dataset and apply our framework on the popular VR game Beat Saber. The resulting model Robo-Saber reproduces skilled performance and captures diverse player behaviors present in the training data. Robo-Saber demonstrates promise in synthesizing rich gameplay data for predictive applications and enabling whole-body physics-based VR playtesting.
Description
CCS Concepts: Human-centered computing → Virtual reality
@article{10.1111:cgf.70353,
journal = {Computer Graphics Forum},
title = {{Robo-Saber: Generating and Simulating Virtual Reality Players}},
author = {Kim, Nam Hee and Liu, May and Lehtinen, Jaakko and Hämäläinen, Perttu and O'Brien, James and Peng, Jason},
year = {2026},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.70353}
}