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» Cognitive maps for mobile robots - an object based approach
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ICRA
2009
IEEE
138views Robotics» more  ICRA 2009»
14 years 2 months ago
Which landmark is useful? Learning selection policies for navigation in unknown environments
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
Hauke Strasdat, Cyrill Stachniss, Wolfram Burgard
AR
2006
86views more  AR 2006»
13 years 7 months ago
Learning for joint attention helped by functional development
Cognitive scientists and developmental psychologists have suggested that development in perceptual, motor and memory functions of human infants as well as adaptive evaluation by ca...
Yukie Nagai, Minoru Asada, Koh Hosoda
MVA
2007
108views Computer Vision» more  MVA 2007»
13 years 9 months ago
Furniture Model Creation Based on Direct Teaching to a Mobile Robot
— In this paper, a modeling method to handle furniture is proposed. In real environment, there is a lot of furniture such as drawer, cabinet and so on. If mobile robots can handl...
Kimitoshi Yamazaki, Takashi Tsubouchi, Masahiro To...
ICRA
2010
IEEE
101views Robotics» more  ICRA 2010»
13 years 6 months ago
Searching for objects: Combining multiple cues to object locations using a maximum entropy model
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...
Dominik Joho, Wolfram Burgard
ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
14 years 1 months ago
Probabilistic Appearance Based Navigation and Loop Closing
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
Mark Cummins, Paul M. Newman