This document summarizes Jürgen Leitner's work on spatial perception and object localization using computer vision. It discusses detecting objects in images, developing an icVision framework, current localization approaches, and using learning methods like neural networks and genetic programming to locate objects spatially. The goal is to train robots to perceive spatial relationships and continuously learn object locations from visual input.
In-Depth Performance Testing Guide for IT Professionals
Towards Spatial Perception: Learning to Locate Objects from Vision #robotDoC
1. Jürgen ’Juxi’ Leitner
S. Harding, M. Frank, A. Förster, J. Schmidhuber
istituto dalle molle di studi sull’intelligenza artificiale
università della svizzera italiana
idsia / usi / supsi
towards
spatial perception
learning to locate objects from vision
#robotdoc 2012
Monday, September 10, 2012
2. iCub
thanks to G. Metta, IIT and U.Plymouth for their pictures
Monday, September 10, 2012
3. our iCub
setup is for
manipulation
Monday, September 10, 2012
4. thanks to G. Metta and IIT for this picture
visual
perception
Monday, September 10, 2012