Sciweavers

289 search results - page 48 / 58
» Learning Landmarks for Robot Localization
Sort
View
NIPS
2008
14 years 11 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
IROS
2009
IEEE
186views Robotics» more  IROS 2009»
15 years 4 months ago
A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
Achim J. Lilienthal, Matteo Reggente, Marco Trinca...
FGR
2008
IEEE
195views Biometrics» more  FGR 2008»
15 years 4 months ago
Regularized active shape model for shape alignment
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li
IROS
2007
IEEE
166views Robotics» more  IROS 2007»
15 years 4 months ago
Visual path following using only monocular vision for urban environments
— This document provides a summary to a short video with the same title. The video shows the French intelligent transportation vehicle CyCab performing visual path following usin...
Albert Diosi, Fabien Spindler, Anthony Remazeilles...
ICRA
2003
IEEE
108views Robotics» more  ICRA 2003»
15 years 3 months ago
On-line safe path planning in unknown environments
s - For the on-line safe path planning of a mobile robot in unknown environments, the paper proposes a simple Hopfield Neural Network ( HNN ) planner. Without learning process, the...
Weidong Chen, Changhong Fan, Yugeng Xi