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» Learning Landmarks for Robot Localization
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ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
15 years 4 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
15 years 4 months ago
Single camera vision-only SLAM on a suburban road network
—Simultaneous Localization And Mapping (SLAM) is one of the major challenges in mobile robotics. Probabilistic techniques using high-end range finding devices are well establishe...
Michael Milford, Gordon Wyeth
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 4 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters
ICRA
2010
IEEE
117views Robotics» more  ICRA 2010»
14 years 7 months ago
Learning reliable and efficient navigation with a humanoid
Reliable and efficient navigation with a humanoid robot is a difficult task. First, the motion commands are executed rather inaccurately due to backlash in the joints or foot slipp...
Stefan Oßwald, Armin Hornung, Maren Bennewit...
ICRA
2006
IEEE
177views Robotics» more  ICRA 2006»
15 years 3 months ago
Autonomous Shape Model Learning for Object Localization and Recognition
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...
Joseph Modayil, Benjamin Kuipers