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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
13 years 10 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
ICRA
2003
IEEE
141views Robotics» more  ICRA 2003»
13 years 11 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
ICRA
2008
IEEE
210views Robotics» more  ICRA 2008»
14 years 6 days ago
Toward designing a robot that learns actions from parental demonstrations
— How to teach actions to a robot as well as how a robot learns actions is an important issue to be discussed in designing robot learning systems. Inspired by human parentinfant ...
Yukie Nagai, Claudia Muhl, Katharina J. Rohlfing
ICRA
2009
IEEE
208views Robotics» more  ICRA 2009»
13 years 3 months ago
Affordance based word-to-meaning association
Abstract-- This paper presents a method to associate meanings to words in manipulation tasks. We base our model on an affordance network, i.e., a mapping between robot actions, rob...
Verica Krunic, Giampiero Salvi, Alexandre Bernardi...
DAGM
2009
Springer
14 years 10 days ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters