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» Learning Landmarks for Robot Localization
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ICRA
2002
IEEE
100views Robotics» more  ICRA 2002»
15 years 2 months ago
Preliminary Results in Range-Only Localization and Mapping
This paper presents methods of localization using cooperating landmarks (beacons) that provide the ability to measure range only. Recent advances in radio frequency technology mak...
George Kantor, Sanjiv Singh
IBPRIA
2005
Springer
15 years 3 months ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...
SUTC
2006
IEEE
15 years 3 months ago
TARANTULAS: Mobility-enhanced Wireless Sensor-Actuator Networks
Amidst the numerous active research efforts in wireless sensor networks which aim to push beyond the limits, we aim to significantly enhance the effectiveness of wireless sensors ...
Winston Khoon Guan Seah, Kevin Z. Liu, Marcelo H. ...
ECCV
2008
Springer
15 years 11 months ago
Weakly Supervised Object Localization with Stable Segmentations
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
CIRA
2007
IEEE
147views Robotics» more  CIRA 2007»
15 years 4 months ago
Local Online Support Vector Regression for Learning Control
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
Younggeun Choi, Shin-Young Cheong, Nicolas Schweig...