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» Probabilistic localization with a blind robot
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ICRA
2003
IEEE
167views Robotics» more  ICRA 2003»
14 years 1 months ago
Local exploration: online algorithms and a probabilistic framework
— Mapping an environment with an imaging sensor becomes very challenging if the environment to be mapped is unknown and has to be explored. Exploration involves the planning of v...
Volkan Isler, Sampath Kannan, Kostas Daniilidis
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
ROBOTICA
2006
133views more  ROBOTICA 2006»
13 years 8 months ago
WiFi localization methods for autonomous robots
This paper compares two methods to estimate the position of a mobile robot in an indoor environment using only odometric calculus and the WiFi energy received from the wireless co...
Vicente Matellán Olivera, José Mar&i...
ICRA
2005
IEEE
134views Robotics» more  ICRA 2005»
14 years 2 months ago
Reachability Analysis of Sampling Based Planners
— The last decade, sampling based planners like the Probabilistic Roadmap Method have proved to be successful in solving complex motion planning problems. We give a reachability ...
Roland Geraerts, Mark H. Overmars
IROS
2006
IEEE
111views Robotics» more  IROS 2006»
14 years 2 months ago
A Combined Monte-Carlo Localization and Tracking Algorithm for RoboCup
— Self-localization is a major research task in mobile robotics for several years. Efficient self-localization methods have been developed, among which probabilistic Monte-Carlo...
Patrick Heinemann, Jürgen Haase, Andreas Zell