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ICML
1995
IEEE
14 years 7 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
IROS
2006
IEEE
217views Robotics» more  IROS 2006»
14 years 29 days ago
Active SLAM using Model Predictive Control and Attractor based Exploration
– Active SLAM poses the challenge for an autonomous robot to plan efficient paths simultaneous to the SLAM process. The uncertainties of the robot, map and sensor measurements, a...
Cindy Leung, Shoudong Huang, Gamini Dissanayake
IJCNN
2000
IEEE
13 years 11 months ago
Predictive Multiple Model Switching Control with the Self-Organizing Map
—A predictive, multiple model control strategy is developed by extension of self-organizing map (SOM) local dynamic modeling of nonlinear autonomous systems to a control framewor...
Mark A. Motter
VISUALIZATION
2005
IEEE
14 years 15 days ago
Topology-driven Surface Mappings with Robust Feature Alignment
Topological concepts and techniques have been broadly applied in computer graphics and geometric modeling. However, the homotopy type of a mapping between two surfaces has not bee...
Christopher Carner, Miao Jin, Xianfeng Gu, Hong Qi...
ROBOCUP
2007
Springer
134views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
A Scalable Hybrid Multi-robot SLAM Method for Highly Detailed Maps
Abstract. Recent successful SLAM methods employ hybrid map representations combining the strengths of topological maps and occupancy grids. Such representations often facilitate mu...
Max Pfingsthorn, Bayu Slamet, Arnoud Visser