Sciweavers

720 search results - page 55 / 144
» Mobile robot navigation using sensor fusion
Sort
View
ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 8 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
AROBOTS
2002
126views more  AROBOTS 2002»
13 years 8 months ago
Selecting Landmarks for Localization in Natural Terrain
We describe techniques to optimally select landmarks for performing mobile robot localization by matching terrain maps. The method is based upon a maximum-likelihood robot localiza...
Clark F. Olson
TROB
2008
97views more  TROB 2008»
13 years 8 months ago
Physical Path Planning Using a Pervasive Embedded Network
Abstract--We evaluate a technique that uses an embedded network deployed pervasively throughout an environment to aid robots in navigation. The embedded nodes do not know their abs...
Keith J. O'Hara, Daniel B. Walker, Tucker R. Balch
ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
13 years 7 months ago
Learning to navigate through crowded environments
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...
Peter Henry, Christian Vollmer, Brian Ferris, Diet...
CIRA
2007
IEEE
152views Robotics» more  CIRA 2007»
14 years 3 months ago
Probabilistic Semantic Mapping with a Virtual Sensor for Building/Nature detection
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it poss...
Martin Persson, Tom Duckett, Christoffer Valgren, ...