<ul><li>Researchers have developed a near-optimal active reconstruction algorithm for autonomous systems.</li><li>The algorithm aims to provide qualitative performance guarantees for the Next Best View problem in active object reconstruction.</li><li>Based on Gaussian process optimization, the algorithm offers sublinear bounds for cumulative regret, ensuring near-optimality.</li><li>The algorithm's performance has been evaluated empirically and compared to other related work.</li></ul>

Near-optimal Active Reconstruction

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