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ICRA
2008
IEEE
123views Robotics» more  ICRA 2008»
15 years 6 months ago
Optimal trajectory generation for nonholonomic robots in dynamic environments
Abstract— We study optimal trajectory generation for nonholonomic mobile robots in the presence of moving obstacles. The trajectory is presented by a parameterized higher-order p...
Yi Guo, Tang Tang
NN
1998
Springer
151views Neural Networks» more  NN 1998»
14 years 11 months ago
Evolutionary neurocontrollers for autonomous mobile robots
In this article we describe a methodology for evolving neurocontrollers of autonomous mobile robots without human intervention. The presentation, which spans from technological an...
Dario Floreano, Francesco Mondada
KI
2010
Springer
14 years 6 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»
15 years 6 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
15 years 5 months 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...