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» Using Stochastic Grammars to Learn Robotic Tasks
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IEAAIE
2005
Springer
15 years 6 months ago
Movement Prediction from Real-World Images Using a Liquid State Machine
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
Harald Burgsteiner, Mark Kröll, Alexander Leo...
LREC
2010
156views Education» more  LREC 2010»
15 years 2 months ago
Studying Word Sketches for Russian
Without any doubt corpora are vital tools for linguistic studies and solution for applied tasks. Although corpora opportunities are very useful, there is a need of another kind of...
Maria Khokhlova, Victor Zakharov
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 8 months ago
Learning motor primitives for robotics
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
Jens Kober, Jan Peters
PPSN
2004
Springer
15 years 6 months ago
A Neuroevolutionary Approach to Emergent Task Decomposition
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
15 years 7 months ago
Towards Mapping of Cities
— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...
Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, ...