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» Navigating Mobile Robots: Sensors and Techniques
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CEC
2007
IEEE
14 years 3 months ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli
ICRA
2002
IEEE
94views Robotics» more  ICRA 2002»
14 years 1 months ago
Weighted Range Sensor Matching Algorithms for Mobile Robot Displacement Estimation
This paper introduces a “weighted” matching algorithm to estimate a robot’s planar displacement by matching twodimensional range scans. The influence of each scan point on ...
Samuel T. Pfister, Kristopher L. Kriechbaum, Sterg...
ICRA
2009
IEEE
113views Robotics» more  ICRA 2009»
14 years 3 months ago
Visual topological SLAM and global localization
— Visual localization and mapping for mobile robots has been achieved with a large variety of methods. Among them, topological navigation using vision has the advantage of offeri...
Adrien Angeli, Stéphane Doncieux, Jean-Arca...
AROBOTS
2008
158views more  AROBOTS 2008»
13 years 9 months ago
Learning traversability models for autonomous mobile vehicles
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...
IROS
2006
IEEE
197views Robotics» more  IROS 2006»
14 years 2 months ago
Heterogeneous Multi-Robot Localization in Unknown 3D Space
— This paper presents a self-localization strategy for a team of heterogenous mobile robots, including ground mobile robots of various sizes and wall-climbing robots. These robot...
Yi Feng 0002, Zhigang Zhu, Jizhong Xiao