IEEE

A Bayesian Framework Based on Gaussian Mixture Model and Hidden Markov Process for Collision Detection in Cobots

Abstract: In this letter, we propose the B-GHF framework, an end-to-end collision state inference method based on a Bayesian framework that does not rely on external force/torque (F/T) sensors in the ...
IEEE

Uncertainty Quantification of Radiation Pattern in Radome-Enclosed Antennas via Integrated Gaussian Process Regression and Grey Wolf Optimization

Abstract: This letter proposes an efficient framework for uncertainty quantification (UQ) of radiation patterns (RPs) in radome-enclosed antennas (REAs), addressing variations in wall thickness and ...