Imitation learning of globally stable non-linear point-to-point robot motions using nonlinear programming

By Seyed Mohammad Khansari-Zadeh, Aude Gemma Billard. 2010

81 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Harish Chaandar Ravichandar
2. Ashwin P. Dani
3. Aude Gemma Billard
4. Seyed Mohammad Khansari-Zadeh
5. Jochen J. Steil
6. Klaus Neumann
7. Sonia Chernova
8. Pieter Abbeel

In Control and Systems Engineering

1. Harish Chaandar Ravichandar
2. Ashwin P. Dani
3. Aude Gemma Billard
4. Seyed Mohammad Khansari-Zadeh
5. Jochen J. Steil
6. Klaus Neumann
7. Sylvain Calinon
8. Sonia Chernova

Citations in the corpus

• Learning position and orientation dynamics from demonstrations via contraction analysis (2018, methodology): “An LfD method, called stable estimator of dynamical systems (SEDS), that learns globally stable DSs directly in higher dimensional state-space using GMMs is developed in Khansari-Zadeh and Billard (2010), Gribovskaya et al. (2010) and Khansari-Zadeh and Billard (2011).”
• Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models (2011, methodology): “DS have been advocated as a powerful alternative to modeling robot motions [5], [14].”