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Cross-Platform Benchmark of Neural 3D Reconstruction for Autonomous Laboratory Robots

arXiv · AI, language, vision and robotics · article · Aug 26, 2026 · UTC

Autonomous robots performing laboratory tasks depend on 3D reconstruction pipelines that can turn raw camera streams into actionable object representations within the latency budget of a physical control loop. Neural 3D reconstruction methods have demonstrated high-quality view synthesis, but their real-time viability across the compute platforms on which laboratory robots actually run remains poorly characterized. In this work, we present a systematic compute-platform benchmark of neural 3D reconstruction methods, evaluating NeRF and 3D Gaussian Splatting training and rendering on GPU-enabled

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Evidence & attribution

First collected: 2026-09-21T09:11:58.312Z. This is not the publication date.