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A tweet announces that University of Michigan's ROB 501, a 26-lecture series covering the mathematical foundations of robotics, is available for free on YouTube with open-source materials on GitHub.
A comprehensive guide explaining the Kalman filter and its application in building smarter trading systems, including mathematical foundations and production-grade examples.
This paper introduces a structured parameterization for noise models in ELTO-based Kalman filters, enabling dynamic adaptation to non-stationary processes and improving state estimation performance in noisy, time-varying environments.