- title = "Towards Spatial Perception: Learning to Locate Objects From Vision",
- author = "Juergen Leitner and Simon Harding and Mikhail Frank and Alexander Foerster and Juergen Schmidhuber",
- booktitle = "Proceedings of the Post-Graduate Conference on Robotics and Development of Cognition",
- year = "2012",
- editor = "Joanna Szufnarowska",
- pages = "20--23",
- address = "Lausanne, Switzerland",
- month = "10-12 " # sep,
- keywords = "genetic algorithms, genetic programming, spatial understanding, object localisation, humanoid robot, neural network",
- size = "4 pages",
- annote = "The Pennsylvania State University CiteSeerX Archives",
- bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
- language = "en",
- oai = "oai:CiteSeerX.psu:10.1.1.297.4992",
- rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
-
URL = "
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.4992",
-
URL = "
http://www.idsia.ch/~alexander/2012/9/RobotDoc2012.pdf",
- abstract = "Our humanoid robot learns to provide position estimates of objects placed on a table, even while the robot is moving its torso, head and eyes (cm range accuracy). These estimates are provided by trained artificial neural networks (ANN) and a Cartesian genetic programming (GP) method, based solely on the inputs from the two cameras and the joint encoder positions. No prior camera calibration and kinematic model is used. We find that ANN and GP are both able to localise localise objects robustly even while the robot is moving, with an accuracy comparable to current techniques used on the iCub.",
-
notes = "Postgraduate Conference on Robotics and Development of
Cognition RobotDoC-PhD
http://www.eucognition.org/eucog-wiki/Postgraduate_Conference_on_Robotics_and_Development_of_Cognition_RobotDoC-PhD
See \cite{Leitner:2013:BICA}. Also known as \cite{Leitneretal2012} http://people.idsia.ch/~alexander/2012/9/citation.bib",
