Artificial Neural Networks For Spatial Perception: Towards Visual Object Localisation in Humanoid Robots #ijcnn2013

Juxi Leitner
Juxi LeitnerResearch Fellow (Robotic Vision & Actions) at Brisbane.AI
#ijcnn 2013
ANNs for
spatial perception
towards visual object localisation in humanoids
S. Harding, M. Frank,A. Förster, J. Schmidhuber
istituto dalle molle di studi sull’intelligenza artificiale
università della svizzera italiana
idsia / usi / supsi
Jürgen ’Juxi’ Leitner
manipulation
our iCub
setup is for
object manipulation
towards learning
http://robotics.idsia.ch/
MoBeE
framework Frank et al., 2012.
MoBeE
generation
motion
Stollenga et al, 2013
Shakey2013Winner
perception
visual
thanks to G. Metta and IIT for this picture
objects
detecting
Harding et al., 2013
Leitner et al., ICDL 2012,ARS 2012, BICA 2012, CEC 2013
localisation approaches
current
approach
learning
=>
transferring
spatial perception
setup
learning
trainingset
9DOF
iCub
bounding box
6 per eye
Cartesian
Coordinates
.
.
.
spatial perception
neural network
.
.
.
9DOF
iCub
boundingbox
6pereye
Cartesian
Coordinates
fullyconnected
fullyconnected
.
.
.
hidden layer
neurons
results
ANN-1300
-1200
-1100
-1000
-900
-800
-700
-600
-500
-400
-300
-200
0 200 400 600 800 1000
Z(mm)
Sample Index
-700
-600
-500
-400
-300
-200
-100
0
100
200
300
400
0 200 400 600 800 1000
Y(mm)
Sample Index
Predicted
Expected
100
150
200
250
300
350
400
450
500
550
600
0 200 400 600 800 1000
X(mm)
Sample Index
-1300
-1200
-1100
-1000
-900
-800
-700
-600
-500
-400
-300
-200
0
Z(mm)
results
ANN
work
future
eye-hand coordination
different spatial representations
online, continuous learning
for listening
thanks
juxi@idsia.ch http://Juxi.net/projects
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Artificial Neural Networks For Spatial Perception: Towards Visual Object Localisation in Humanoid Robots #ijcnn2013