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» Bayesian Landmark Learning for Mobile Robot Localization
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AUSAI
2003
Springer
14 years 25 days ago
BN+BN: Behavior Network with Bayesian Network for Intelligent Agent
Abstract. In the philosophy of behavior-based robotics, design of complex behavior needs the interaction of basic behaviors that are easily implemented. Action selection mechanism ...
Kyung-Joong Kim, Sung-Bae Cho
RAS
2008
123views more  RAS 2008»
13 years 7 months ago
Fusion of aerial images and sensor data from a ground vehicle for improved semantic mapping
This work investigates the use of semantic information to link ground level occupancy maps and aerial images. A ground level semantic map, which shows open ground and indicates th...
Martin Persson, Tom Duckett, Achim J. Lilienthal
AROBOTS
2000
104views more  AROBOTS 2000»
13 years 7 months ago
Heterogeneous Teams of Modular Robots for Mapping and Exploration
In this article, we present the design of a team of heterogeneous, centimeter-scale robots that collaborate to map and explore unknown environments. The robots, called Millibots, a...
Robert Grabowski, Luis E. Navarro-Serment, Christi...
ICRA
2002
IEEE
146views Robotics» more  ICRA 2002»
14 years 16 days ago
Algorithms and Sensors for Small Robot Path Following
Abstract— Tracked mobile robots in the 20 kg size class are under development for applications in urban reconnaissance. For efficient deployment, it is desirable for teams of ro...
Robert W. Hogg, Arturo L. Rankin, Stergios I. Roum...
BMVC
2010
13 years 5 months ago
Histogram of Oriented Cameras - A New Descriptor for Visual SLAM in Dynamic Environments
Simultaneous localization and mapping (SLAM) is a basic prerequisite in autonomous mobile robotics. Most existing visual SLAM approaches either assume a static environment, or sim...
Katrin Pirker