Control of humanoid robots on webots, walking, deep-learning, Bayesian-optimization
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Updated
Mar 11, 2024 - C
Control of humanoid robots on webots, walking, deep-learning, Bayesian-optimization
This is a relatively low level implementation of a kalman filter; with support for extended and iterative extended kalman filters. The goals of the project are to provide a numerically stable, robust EKF implementation which is both fast and portable.
ytopt: machine-learning-based search methods for autotuning
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