Robo-Saber: Generating and Simulating Virtual Reality Players
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866912915768999936 |
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| author | Kim, Nam Hee Liu, Jingjing May Lehtinen, Jaakko Hämäläinen, Perttu O'Brien, James F. Peng, Xue Bin |
| author_facet | Kim, Nam Hee Liu, Jingjing May Lehtinen, Jaakko Hämäläinen, Perttu O'Brien, James F. Peng, Xue Bin |
| contents | 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 exemplars and aligned to maximize simulated gameplay score. We train on the large BOXRR-23 dataset and apply our framework on the popular VR game Beat Saber. The resulting model Robo-Saber produces skilled gameplay and captures diverse player behaviors, mirroring the skill levels and movement patterns specified by input style exemplars. Robo-Saber demonstrates promise in synthesizing rich gameplay data for predictive applications and enabling a physics-based whole-body VR playtesting agent. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_18319 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Robo-Saber: Generating and Simulating Virtual Reality Players Kim, Nam Hee Liu, Jingjing May Lehtinen, Jaakko Hämäläinen, Perttu O'Brien, James F. Peng, Xue Bin Graphics Artificial Intelligence Human-Computer Interaction Machine Learning 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 exemplars and aligned to maximize simulated gameplay score. We train on the large BOXRR-23 dataset and apply our framework on the popular VR game Beat Saber. The resulting model Robo-Saber produces skilled gameplay and captures diverse player behaviors, mirroring the skill levels and movement patterns specified by input style exemplars. Robo-Saber demonstrates promise in synthesizing rich gameplay data for predictive applications and enabling a physics-based whole-body VR playtesting agent. |
| title | Robo-Saber: Generating and Simulating Virtual Reality Players |
| topic | Graphics Artificial Intelligence Human-Computer Interaction Machine Learning |
| url | https://arxiv.org/abs/2602.18319 |