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» Bayesian Landmark Learning for Mobile Robot Localization
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ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
14 years 2 months ago
Single camera vision-only SLAM on a suburban road network
—Simultaneous Localization And Mapping (SLAM) is one of the major challenges in mobile robotics. Probabilistic techniques using high-end range finding devices are well establishe...
Michael Milford, Gordon Wyeth
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
14 years 1 months ago
Global action selection for illumination invariant color modeling
— A major challenge in the path of widespread use of mobile robots is the ability to function autonomously, learning useful features from the environment and using them to adapt ...
Mohan Sridharan, Peter Stone
ICRA
2006
IEEE
177views Robotics» more  ICRA 2006»
14 years 1 months ago
Autonomous Shape Model Learning for Object Localization and Recognition
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...
Joseph Modayil, Benjamin Kuipers
TROB
2002
149views more  TROB 2002»
13 years 7 months ago
LOST: localization-space trails for robot teams
Abstract-We describe Localization-Space Trails (LOST), a method that enables a team of robots to navigate between places of interest in an initially unknown environment using a tra...
Richard T. Vaughan, Kasper Støy, Gaurav S. ...
ICML
2007
IEEE
14 years 8 months ago
Map building without localization by dimensionality reduction techniques
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Takehisa Yairi