English

Zero-Splat TeleAssist: A Zero-Shot Pose Estimation Framework for Semantic Teleoperation

Robotics 2025-12-10 v1 Computer Vision and Pattern Recognition Machine Learning Image and Video Processing

Abstract

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.

Cite

@article{arxiv.2512.08271,
  title  = {Zero-Splat TeleAssist: A Zero-Shot Pose Estimation Framework for Semantic Teleoperation},
  author = {Srijan Dokania and Dharini Raghavan},
  journal= {arXiv preprint arXiv:2512.08271},
  year   = {2025}
}

Comments

Published and Presented at 3rd Workshop on Human-Centric Multilateral Teleoperation in ICRA 2025

R2 v1 2026-07-01T08:16:13.488Z