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This research introduces Robo-Saber, a motion generation system designed for playtesting virtual reality (VR) games.

May 6, 2026Open Access

Robo‐Saber: Generating and Simulating Virtual Reality Players

NKN. H. KimAalto University MLM. J. LiuUniversity of California, Berkeley JLJ. LehtinenAalto University

Key Points

This research introduces Robo-Saber, a motion generation system designed for playtesting virtual reality (VR) games.
Developed a player model for generating movements based on in-game object arrangements.
Trained on the BOXRR‐23 dataset using style reference gameplay examples.
Applied the model to the VR game Beat Saber for testing its effectiveness.
Robo-Saber successfully reproduces skilled performance in gameplay.
The model captures diverse player behaviors from the training data.
Demonstrates capability for creating rich gameplay data for predictive applications.

Abstract

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.

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