LARS: Light Augmented Reality System - Benchmarking Tests Video
收藏NIAID Data Ecosystem2026-05-02 收录
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The benchmarking video demonstrates the performance of LARS as a closed-loop mixed-reality system. Three evaluations are presented: scalability, where up to 399 virtual robots are rendered and tracked; tracking accuracy, measured with 100 real Kilobots under different processing loads (logging only vs. logging plus video recording); and robustness, tested under varying brightness levels and projected visual noise. Together, these results show that LARS remains responsive, accurate, and stable across diverse experimental conditions.
创建时间：
2025-08-22
