Abstract: The accuracy of the geometric and dynamic models for robots and humans is crucial for simulation, control, and motion analysis. For example, joint torque, which is a function of geometric ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
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