Seyed Mohammad Khansari-Zadeh

Orcid: 0000-0001-9093-6977

Affiliations:
  • Stanford University, Stanford, CA, USA


According to our database1, Seyed Mohammad Khansari-Zadeh authored at least 14 papers between 2010 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2017
Learning potential functions from human demonstrations with encapsulated dynamic and compliant behaviors.
Auton. Robots, 2017

2016
Adaptive human-inspired compliant contact primitives to perform surface-surface contact under uncertainty.
Int. J. Robotics Res., 2016

2015
Incremental motion learning with locally modulated dynamical systems.
Robotics Auton. Syst., 2015

Open-source benchmarking for learned reaching motion generation in robotics.
Paladyn J. Behav. Robotics, 2015

2014
Learning control Lyapunov function to ensure stability of dynamical system-based robot reaching motions.
Robotics Auton. Syst., 2014

Modeling robot discrete movements with state-varying stiffness and damping: A framework for integrated motion generation and impedance control.
Proceedings of the Robotics: Science and Systems X, 2014

2012
A dynamical system approach to realtime obstacle avoidance.
Auton. Robots, 2012

Learning to Play Minigolf: A Dynamical System-Based Approach.
Adv. Robotics, 2012

2011
Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models.
IEEE Trans. Robotics, 2011

Vision-Based Navigation in Autonomous Close Proximity Operations using Neural Networks.
IEEE Trans. Aerosp. Electron. Syst., 2011

Learning Non-linear Multivariate Dynamics of Motion in Robotic Manipulators.
Int. J. Robotics Res., 2011

Learning to control planar hitting motions in a minigolf-like task.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010
Imitation learning of globally stable non-linear point-to-point robot motions using nonlinear programming.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

BM: An iterative algorithm to learn stable non-linear dynamical systems with Gaussian mixture models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010


  Loading...