Learning Trajectories for Robot Programing by Demonstration Using a Coordinated Mixture of Factor Analyzers

Published in IEEE Transactions on Cybernetics, 2016

Authors: Matthew Field, David Stirling, Zengxi Pan, Fazel Naghdy

Published in: IEEE Transactions on Cybernetics

DOI / Publisher link: 10.1109/TCYB.2015.2414277

Keywords: Hidden Markov models, Robot kinematics, Trajectory, Nonlinear dynamical systems, Manifolds, Robot sensing systems, Human motion, humanoid robot, imitation, inertial sensors, nonlinear dynamical system control, stability, robot programing by demonstration (PbD)

BibTeX: Download

Recommended citation: Matthew Field, David Stirling, Zengxi Pan, Fazel Naghdy (2016). "Learning Trajectories for Robot Programing by Demonstration Using a Coordinated Mixture of Factor Analyzers." IEEE Transactions on Cybernetics. 46(3), 706-717.
Download Paper | Download Bibtex