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Preprint Aug 2026

Comparative Evaluation of 3D Reconstruction Methods for Immersive Visualization of Laboratory Objects

In this study, we examined whether current 3D reconstruction methods can support the creation of realistic holographic representations of laboratory objects for educational use. In this regard, we compared four approaches: photogrammetry, a neural radiance field (NeRF)-based method, Gaussian splatting, and LiDAR. These...

Bryan De La Cruz, Aaron Y. Zhao, Maitrey Gramopadhye et al. · 0 citations
#artificial intelligence Preprint Sep 2026

From Rollout to Reset: A Graph-Based Harness for Autonomous Long-Horizon Manipulation Evaluation

HALTER, a Harness for Autonomous Long-horizon Task Evaluation and Reset, which restores the scene by planning over a library of learned atomic reset skills, so demonstration cost scales with the size of that library rather than with the number of terminal states.

Jing Jiang, Yue Yang, Xin-Kai Jiang et al. · 0 citations
#machine learning Preprint Sep 2026

Sensing Which Modality Matters: Evidence-Gated Regularization for Robust VLA Policies

Evidence-Gated Regularization (EGR) is proposed, a modality-agnostic training objective that introduces zero inference-time overhead and derives a per-frame and per-sensor task-relevance signal to gate two state-conditional consistency objectives: invariance on low-evidence sensors, and single-sensor sufficiency on hig...

Yue Yang, D. Romeres, C. Hori et al. · 0 citations

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