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» Covisibility-Based Map Learning Method for Mobile Robots
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IROS
2006
IEEE
132views Robotics» more  IROS 2006»
14 years 1 months ago
Supervised Learning of Topological Maps using Semantic Information Extracted from Range Data
Abstract— This paper presents an approach to create topological maps from geometric maps obtained with a mobile robot in an indoor-environment using range data. Our approach util...
Óscar Martínez Mozos, Wolfram Burgar...
RAS
2010
216views more  RAS 2010»
13 years 6 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...
IROS
2007
IEEE
85views Robotics» more  IROS 2007»
14 years 2 months ago
Probabilistic map building considering sensor visibility for mobile robot
— This paper describes a method of probabilistic obstacle map building based on Bayesian estimation. Most active or passive obstacle sensors observe only the most frontal objects...
Kazuma Haraguchi, Nobutaka Shimada, Yoshiaki Shira...
ICPR
2006
IEEE
14 years 8 months ago
Direct Mapping of Visual Input to Motor Torques
Most methods for visual control of robots formulate the robot command in joint or Cartesian space. To move the robot these commands are remapped to motor torques usually requiring...
Jeremiah J. Neubert, Nicola J. Ferrier
ICRA
2003
IEEE
146views Robotics» more  ICRA 2003»
14 years 1 months ago
Putting the 'I' in 'team': an ego-centric approach to cooperative localization
— This paper describes a cooperative method for relative localization of mobile robot teams; that is, it describes a method whereby every robot in the team can estimate the pose ...
Andrew Howard, Maja J. Mataric, Gaurav S. Sukhatme