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» Covisibility-Based Map Learning Method for Mobile Robots
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IROS
2006
IEEE
202views Robotics» more  IROS 2006»
14 years 1 months ago
Topological characterization of mobile robot behavior
— We propose to classify the behaviors of a mobile robot thanks to topological methods as an alternative to metric ones. To do so, we adapt an analysis scheme from Physics of non...
Aurélien Hazan, Frédéric Dave...
JFR
2006
88views more  JFR 2006»
13 years 7 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
COLCOM
2007
IEEE
14 years 2 months ago
Collaborative motion planning of autonomous robots
—In disaster areas, office buildings, or at home, multiple autonomous networked mobile robots may act instead of human beings. These robots have to move to their destination so ...
Takashi Okada, Razvan Beuran, Junya Nakata, Yasuo ...
ICPR
2006
IEEE
14 years 8 months ago
A Split & Merge Approach to Metric-Topological Map-Building
We present a novel split and merge based method for dividing a given metric map into distinct regions, thus effectively creating a topological map on top of a metric one. The init...
ICRA
2002
IEEE
161views Robotics» more  ICRA 2002»
14 years 20 days ago
Mosaicing Large Cyclic Environments for Visual Navigation in Autonomous Vehicles
Mobile robot localization from large-scale appearance mosaics has been showing increasing promise as a low-cost, high-performance and infrastructure-free solution to vehicle guida...
Ranjith Unnikrishnan, Alonzo Kelly