139 search results - page 1 / 28 » A Bayesian approach to empirical local linearization for rob... |
ICRA
2008
IEEE
13 years 11 months ago
2008
IEEE
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
ICRA
1999
IEEE
13 years 9 months ago
1999
IEEE
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
AUTOMATICA
2011
12 years 11 months ago
2011
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
ICRA
1998
IEEE
13 years 8 months ago
1998
IEEE
In sensory data fusion and integration consideration, sensor independence is a common assumption. In this paper, we demonstrated the impact of including dependent information in s...
ICIP
2009
IEEE
14 years 5 months ago
2009
IEEE
In this article we address the issue of denoising photon-limited image data by deriving new and efficient multivariate Bayesian estimators that approximate the conditional expecta...