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Management repo for adaptive kalman paper issues and deadlines
Initial process covariance estimation using an EKS
Recompute foot stiffness matrix using the Bayesian network, by entering the CAD extracted taxel positions
Introduction section for the paper
modifying the process model to include the spring torque as transpose(K) x K x Phi , where we estimate K matrix
tuning the adaptive kalman covariances
Smoother based computation of process noice covariance.
Change of signs of forces and accelerations and tuning of the first few seconds of the dataset
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