The paper presents URSA, an LLM-driven AR astronaut interface, and a new Leo Rover tracking dataset (DTTD3) evaluated with the authors' own pose estimator, with minimal quantitative evidence.
Robust 6DoF Pose Estimation Against Depth Noise and a Comprehen- sive Evaluation on a Mobile Dataset
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2024 NASA SUITS Report: LLM-Driven Immersive Augmented Reality User Interface for Robotics and Space Exploration
The paper presents URSA, an LLM-driven AR astronaut interface, and a new Leo Rover tracking dataset (DTTD3) evaluated with the authors' own pose estimator, with minimal quantitative evidence.