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» Statistical Learning for Humanoid Robots
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ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
13 years 12 months ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...
ICRA
2009
IEEE
138views Robotics» more  ICRA 2009»
14 years 2 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
TROB
2008
207views more  TROB 2008»
13 years 7 months ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
NIPS
2008
13 years 9 months ago
Policy Search for Motor Primitives in Robotics
Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
Jens Kober, Jan Peters
AAAI
2010
13 years 7 months ago
Biped Walk Learning Through Playback and Corrective Demonstration
Developing a robust, flexible, closed-loop walking algorithm for a humanoid robot is a challenging task due to the complex dynamics of the general biped walk. Common analytical ap...
Çetin Meriçli, Manuela M. Veloso