Gaussian

A Tutorial on Particle Filtering and Smoothing: Fifteen years later

Randal Douc, Adam M. Johansen

Citations: 1407 • 2008

On Learning, Representing, and Generalizing a Task in a Humanoid Robot

Sylvain Calinon, F. Guenter, Aude Billard

Citations: 1086 • 2007

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

Error modeling in stereo navigation

Larry Matthies, Steven A. Shafer

Citations: 501 • 1987

LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information

Jur van den Berg, Pieter Abbeel, Ken Goldberg

Citations: 402 • 2011

Gaussian Processes for Signal Strength-Based Location Estimation

Brian Ferris, Dirk Haehnel, D. Fox

Citations: 394 • 2006

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

On-line EM Algorithm for the Normalized Gaussian Network

Masa-aki Sato, Shin Ishii

Citations: 280 • 2000

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

DeepGMR: Learning Latent Gaussian Mixture Models for Registration

Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox, Jan Kautz

Citations: 247 • 2020

Automatic gait optimization with Gaussian process regression

Daniel J. Lizotte, Tao Wang, Michael Bowling, Dale Schuurmans

Citations: 247 • 2007

Finite-Horizon $H_{\infty} $ Filtering With Missing Measurements and Quantization Effects

Zidong Wang, Hongli Dong, Bo Shen, Huijun Gao

Citations: 226 • 2013

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