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» Learning Sensory-Motor Maps for Redundant Robots
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IROS
2006
IEEE
107views Robotics» more  IROS 2006»
13 years 10 months ago
Learning Sensory-Motor Maps for Redundant Robots
— Humanoid robots are routinely engaged in tasks requiring the coordination between multiple degrees of freedom and sensory inputs, often achieved through the use of sensorymotor...
Manuel Lopes, José Santos-Victor
TROB
2008
207views more  TROB 2008»
13 years 4 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...
ICRA
2003
IEEE
141views Robotics» more  ICRA 2003»
13 years 9 months ago
Visual transformations in gesture imitation: what you see is what you do
We propose an approach for a robot to imitate the gestures of a human demonstrator. Our framework consists solely of two components: a Sensory-Motor Map (SMM) and a View-Point Tra...
Manuel Cabido-Lopes, José Santos-Victor
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
13 years 10 months ago
A learning framework for generic sensory-motor maps
— We present a new approach to cope with unknown redundant systems. For this we present i) an online algorithm that learns general input-output restrictions and, ii) a method tha...
Manuel Lopes, Bruno D. Damas
AAAI
1994
13 years 5 months ago
High Dimension Action Spaces in Robot Skill Learning
Table lookup with interpolation is used for many learning and adaptation tasks. Redundant mappings capture the important concept of \motor skill," which is important in real,...
Jeff G. Schneider