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Yuanpei College, Peking University
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Achieving a 35% reduction in depth RMSE, NSL-SLAM not only enhances tracking accuracy but also ensures robust performance in real-world scenarios without catastrophic failures.
Forget painstakingly teleoperating robots or waiting for CPU planners: AutoMoMa unlocks 80x faster generation of kinematically valid mobile manipulation trajectories, finally making large-scale data practical.
