GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models

J Ko, D Fox - Autonomous Robots, 2009 - Springer
Bayesian filtering is a general framework for recursively estimating the state of a dynamical
system. Key components of each Bayes filter are probabilistic prediction and observation …

Mechanisms of the anatomically correct testbed hand

…, Z Xu, MJV Weghe, BH Brown, J Ko… - IEEE/ASME …, 2011 - ieeexplore.ieee.org
We have built an anatomically correct testbed (ACT) hand with the purpose of understanding
the intrinsic biomechanical and control features in human hands that are critical for …

Learning GP-BayesFilters via Gaussian process latent variable models

J Ko, D Fox - Autonomous Robots, 2011 - Springer
GP-BayesFilters are a general framework for integrating Gaussian process prediction and
observation models into Bayesian filtering techniques, including particle filters and extended …

Gaussian processes and reinforcement learning for identification and control of an autonomous blimp

J Ko, DJ Klein, D Fox, D Haehnel - Proceedings 2007 ieee …, 2007 - ieeexplore.ieee.org
Blimps are a promising platform for aerial robotics and have been studied extensively for this
purpose. Unlike other aerial vehicles, blimps are relatively safe and also possess the ability …

Distributed multirobot exploration and mapping

D Fox, J Ko, K Konolige, B Limketkai… - Proceedings of the …, 2006 - ieeexplore.ieee.org
Efficient exploration of unknown environments is a fundamental problem in mobile robotics.
We present an approach to distributed multirobot mapping and exploration. Our system …

GP-UKF: Unscented Kalman filters with Gaussian process prediction and observation models

J Ko, DJ Klein, D Fox, D Haehnel - 2007 IEEE/RSJ International …, 2007 - ieeexplore.ieee.org
This paper considers the use of non-parametric system models for sequential state estimation.
In particular, motion and observation models are learned from training examples using …

A practical, decision-theoretic approach to multi-robot mapping and exploration

J Ko, B Stewart, D Fox, K Konolige… - … 2003 IEEE/RSJ …, 2003 - ieeexplore.ieee.org
An important assumption underlying virtually all approaches to multi-robot exploration is prior
knowledge about their relative locations. This is due to the fact that robots need to merge …

Bioresorbable pressure sensors protected with thermally grown silicon dioxide for the monitoring of chronic diseases and healing processes

…, CR Haney, W Spees, Y Lee, M Choi, J Ko… - Nature biomedical …, 2019 - nature.com
Pressures in the intracranial, intraocular and intravascular spaces are clinically useful for
the diagnosis and management of traumatic brain injury, glaucoma and hypertension, …

Map merging for distributed robot navigation

K Konolige, D Fox, B Limketkai, J Ko… - … 2003 IEEE/RSJ …, 2003 - ieeexplore.ieee.org
A set of robots mapping an area can potentially combine their information to produce a
distributed map more efficiently than a single robot alone. We describe a general framework for …

Transport, phase reactions, and hysteresis of iron fluoride and oxyfluoride conversion electrode materials for lithium batteries

JK Ko, KM Wiaderek, N Pereira… - … applied materials & …, 2014 - ACS Publications
Potentiostatic intermittent titration technique (PITT) was applied to FeF 2 , FeF 3 , and FeO
0.67 F 1.33 to gain insight into the transport-related aspects of the conversion reaction by …