mlsanityData to 7 Oct 2026

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

arXiv 2512.08271 ↗First posted 9 Dec 2025cs.RO cs.CV cs.LGcited by 1

On the map: World models → Embodied and robot world models

Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Embodied and robot world models, one of 11 directions in World models. Builds on 3 of its 6 references that are in the map. First posted on arXiv 9 Dec 2025.

Builds on

3 of 6 references.

References · 3

  1. 2015Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learningcited by 4,416
  2. 2019Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfercited by 1,484
  3. 2023Markerless Camera-to-Robot Pose Estimation via Self-supervised Sim-to-Real Transfercited by 23

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Do Better Imagined Rollouts Mean Better Robot Control? A Controlled Study of World-Model Evaluation Under Feedbackcited by 0

Similar, not cited

Close in wording, no citation either way

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  4. 2026From Perception to Assistance: Open-Vocabulary Shared Autonomy for Robotic Manipulation
  5. 2026SEVO: Semantic-Enhanced Virtual Observation for Robust VLA Manipulation via Active Illumination and Data-Centric Collection
  6. 2025Open TeleDex: A Hardware-Agnostic Teleoperation System for Imitation Learning based Dexterous Manipulation
  7. 2024Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
  8. 2026PRISM: Personalized Robotic Dataset Generation via Image-based Scene and Motion Synthesis