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0:17
YouTube
Next Gen Synthetix
Robotic perception relies on probabilistic models
Robotic perception thrives on uncertainty — and that’s where probabilistic models shine. By using Bayesian filters, robots can simultaneously estimate their position and the reliability of that estimation, allowing them to navigate real-world environments filled with noise and missing data. This framework forms the foundation of SLAM ...
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