Jonathan Ko - Concepedia

Author

Jonathan Ko

University of Washington ORCID

Also Known As

J Ko, J. Ko, Jaehoon Ko, Jonathan Ko, Ko, Jonathan

Publications

2.3K

Citations

H-Index

102

Concepts

All Affiliations

University of Washington University of Maryland, College Park SRI International Intel (United States)University of Central Florida

About

Jonathan Ko is an author at University of Washington specializing in engineering, robotics, and computational imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	21	1.7K
2	Health Sciences	4	4	245
3	Medicine	3	3	205
4	Anatomy	1	1	170
5	Applied Physiology	1	1	33

Jonathan Ko

Publications

2.1K

Citations

H-Index

Page 1

	Year	Citations
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models Jonathan Ko, Dieter Fox Autonomous Robots Bayesian StatisticEngineeringFiltering TechniqueData SciencePredictive Analytics	2009	335
Distributed Multirobot Exploration and Mapping D. Fox, Jonathan Ko, Kurt Konolige, Proceedings of the IEEE Efficient ExplorationMultirobot ExplorationEngineeringField RoboticsUnknown Environments	2006	329
Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp Jonathan Ko, Daniel J. Klein, Dieter Fox, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings EngineeringBlimp ControllerField RoboticsFlying RobotIntelligent Systems	2007	198
A practical, decision-theoretic approach to multi-robot mapping and exploration Jonathan Ko, Benjamin Stewart, D. Fox, CartographyMulti-robot TeamEngineeringRobot NetworkGlobal Uncertainty	2004	172
Mechanisms of the Anatomically Correct Testbed Hand Ashish D. Deshpande, Zhe Xü, Michael J. Vande Weghe, IEEE/ASME Transactions on Mechatronics Index FingerDexterous ManipulationCorrect TestbedMotor ControlObject Manipulation	2011	170
Map merging for distributed robot navigation Kurt Konolige, D. Fox, Benson Limketkai, CartographyMulti-robot TeamEngineeringRobot NetworkMap Building	2004	135
GP-UKF: Unscented kalman filters with Gaussian process prediction and observation models Jonathan Ko, Daniel J. Klein, Dieter Fox, Parametric UkfEngineeringMachine LearningSequential State EstimationField Robotics	2007	116
Learning GP-BayesFilters via Gaussian process latent variable models Jonathan Ko, Dieter Fox Autonomous Robots Statistical InferenceMachine LearningGaussian Process	2010	77
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models Jonathan Ko, D. Fox Bayesian StatisticEngineeringMachine LearningBayesian InferenceState Estimation	2008	65
The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach Benjamin Stewart, Jonathan Ko, Dieter Fox, arXiv (Cornell University)	2012	54

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