Zero-Splat TeleAssist: A Zero-Shot Pose Estimation Framework for Semantic Teleoperation
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866911309520437248 |
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| author | Dokania, Srijan Raghavan, Dharini |
| author_facet | Dokania, Srijan Raghavan, Dharini |
| contents | We introduce Zero-Splat TeleAssist, a zero-shot sensor-fusion pipeline that transforms commodity CCTV streams into a shared, 6-DoF world model for multilateral teleoperation. By integrating vision-language segmentation, monocular depth, weighted-PCA pose extraction, and 3D Gaussian Splatting (3DGS), TeleAssist provides every operator with real-time global positions and orientations of multiple robots without fiducials or depth sensors in an interaction-centric teleoperation setup. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_08271 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Zero-Splat TeleAssist: A Zero-Shot Pose Estimation Framework for Semantic Teleoperation Dokania, Srijan Raghavan, Dharini Robotics Computer Vision and Pattern Recognition Machine Learning Image and Video Processing We introduce Zero-Splat TeleAssist, a zero-shot sensor-fusion pipeline that transforms commodity CCTV streams into a shared, 6-DoF world model for multilateral teleoperation. By integrating vision-language segmentation, monocular depth, weighted-PCA pose extraction, and 3D Gaussian Splatting (3DGS), TeleAssist provides every operator with real-time global positions and orientations of multiple robots without fiducials or depth sensors in an interaction-centric teleoperation setup. |
| title | Zero-Splat TeleAssist: A Zero-Shot Pose Estimation Framework for Semantic Teleoperation |
| topic | Robotics Computer Vision and Pattern Recognition Machine Learning Image and Video Processing |
| url | https://arxiv.org/abs/2512.08271 |