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» Probabilistic Mapping of an Environment by a Mobile Robot
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ICRA
2003
IEEE
129views Robotics» more  ICRA 2003»
14 years 20 days ago
Optimal navigation and object finding without geometric maps or localization
In this paper we present a dynamic data structure, useful for robot navigation in an unknown, simplyconnected planar environment. The guiding philosophy in this work is to avoid t...
Benjamín Tovar, Steven M. LaValle, Rafael M...
ICRA
2000
IEEE
117views Robotics» more  ICRA 2000»
13 years 11 months ago
Practical Mobile Robot Self-Localization
A mapmaking robot integrates accumulated sensor data into a data structure that can be used for future localization or planning operations. Localization is the process of determin...
Jon Howell, Bruce Randall Donald
KI
2010
Springer
13 years 2 months ago
Lifelong Map Learning for Graph-based SLAM in Static Environments
In this paper, we address the problem of lifelong map learning in static environments with mobile robots using the graph-based formulation of the simultaneous localization and mapp...
Henrik Kretzschmar, Giorgio Grisetti, Cyrill Stach...
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
KI
2005
Springer
14 years 27 days ago
Heuristic-Based Laser Scan Matching for Outdoor 6D SLAM
6D SLAM (Simultaneous Localization and Mapping) or 6D Concurrent Localization and Mapping of mobile robots considers six dimensions for the robot pose, namely, the x, y and z coord...
Andreas Nüchter, Kai Lingemann, Joachim Hertz...