Gaussian process
Related papers: 20
Top Researchers
Top Cited Papers
Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models
Seyed Mohammad Khansari-Zadeh, Aude Billard
Citations: 764 • 2011
Gaussian Processes for Data-Efficient Learning in Robotics and Control
Marc Peter Deisenroth, Dieter Fox, Carl Edward Rasmussen
Citations: 656 • 2013
Robot trajectory optimization using approximate inference
Marc Toussaint
Citations: 329 • 2009
Model Learning with Local Gaussian Process Regression
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
Citations: 322 • 2009
Active global localization for a mobile robot using multiple hypothesis tracking
Patric Jensfelt, Steen Savstrup Kristensen
Citations: 316 • 2001
Most likely heteroscedastic Gaussian process regression
Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard
Citations: 313 • 2007
Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns
Georges S. Aoude, Brandon Luders, Joshua Joseph, Nicholas Roy, Jonathan P. How
Citations: 287 • 2013
Reachability-based safe learning with Gaussian processes
Anayo K. Akametalu, Jaime F. Fisac, Jeremy Gillula, Shahab Kaynama, Melanie N. Zeilinger, Claire J. Tomlin
Citations: 262 • 2014
Efficient Informative Sensing using Multiple Robots
Citations: 251 • 2009
Automatic gait optimization with Gaussian process regression
Daniel J. Lizotte, Tao Wang, Michael Bowling, Dale Schuurmans
Citations: 247 • 2007
Manifold Gaussian Processes for regression
Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth
Citations: 214 • 2016
Semiparametric Latent Factor Models
Yee Whye Teh, Matthias Seeger, Michael I. Jordan
Citations: 202 • 2005
Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp
Jonathan Ko, Daniel J. Klein, Dieter Fox, Dirk Haehnel
Citations: 199 • 2007
Safe Exploration for Optimization with Gaussian Processes
Yanan Sui, Alkis Gotovos, Joel W. Burdick, Andreas Krause
Citations: 197 • 2015
Learning-based Nonlinear Model Predictive Control to Improve Vision-based Mobile Robot Path Tracking
Chris J. Ostafew, Angela P. Schoellig, Timothy D. Barfoot, Jack Collier
Citations: 195 • 2015
Learning Shared Latent Structure for Image Synthesis and Robotic Imitation
Aaron P. Shon, Keith Grochow, Aaron Hertzmann, Rajesh P. N. Rao
Citations: 183 • 2005
Using model knowledge for learning inverse dynamics
Duy Nguyen-Tuong, Jan Peters
Citations: 176 • 2010
Hybrid Dynamic Moving Obstacle Avoidance Using a Stochastic Reachable Set-Based Potential Field
Nick Malone, Hao-Tien Lewis Chiang, Kendra Lesser, Meeko Oishi, Lydia Tapia
Citations: 169 • 2017
Probabilistic movement modeling for intention inference in human–robot interaction
Zhikun Wang, Katharina Mülling, Marc Peter Deisenroth, Heni Ben Amor, David Vogt, Bernhard Schölkopf, Jan Peters
Citations: 166 • 2013
Robot Programming by Demonstration: A Probabilistic Approach
Sylvain Calinon
Citations: 164 • 2021