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» Machine Learning for motor skills in robotics
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IROS
2008
IEEE
111views Robotics» more  IROS 2008»
14 years 1 months ago
Learning perceptual coupling for motor primitives
—Dynamic system-based motor primitives [1] have enabled robots to learn complex tasks ranging from Tennisswings to locomotion. However, to date there have been only few extension...
Jens Kober, Betty J. Mohler, Jan Peters
CORR
2010
Springer
156views Education» more  CORR 2010»
13 years 5 months ago
Imitation learning of motor primitives and language bootstrapping in robots
Abstract— Imitation learning in robots, also called programing by demonstration, has made important advances in recent years, allowing humans to teach context dependant motor ski...
Thomas Cederborg, Pierre-Yves Oudeyer
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
13 years 8 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
ROBOCUP
2004
Springer
94views Robotics» more  ROBOCUP 2004»
14 years 11 days ago
Optic Flow Based Skill Learning for a Humanoid to Trap, Approach to, and Pass a Ball
Generation of a sequence of behaviors is necessary for the RoboCup Humanoid league to realize not simply a individual robot performance but also cooperative ones between robots. A ...
Masaki Ogino, Masaaki Kikuchi, Jun'ichiro Ooga, Ma...
TROB
2008
207views more  TROB 2008»
13 years 6 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...