Blink Sakulkueakulsuk. 1. D. Wilking, and T. Rofer, Realtime Object Recognition Using Decision Tree...
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Transcript of Blink Sakulkueakulsuk. 1. D. Wilking, and T. Rofer, Realtime Object Recognition Using Decision Tree...
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Data Mining Applicationsin Robotics Engineering
Blink Sakulkueakulsuk
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1. D. Wilking, and T. Rofer, Realtime Object Recognition Using Decision Tree Learning, 2005
http://www.informatik.uni-bremen.de/kogrob/papers/rc05-objectrecognition.pd
2. J. Li, Q. Pan, and B. Hong, A New Approach of Multi-robot Cooperative Pursuit Based on Association Rule Data Mining, 2009
http://cdn.intechopen.com/pdfs-wm/6967.pdf
3. A. Ravankar, Y. Hoshino, T. Emaru, and Y. Kobayashi, Robot Mapping Using k-means Clustering Of Laser Range Sensor Data, 2012
http://bncss.org/index.php/bncss/article/view/2/2
4. H. Lipson, Mining experimental data for dynamical invariants - from cognitive robotics to computational biology, 2010
http://videolectures.net/ecmlpkdd2010_lipson_med/
References
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Interdisciplinary Field
RBE = ME + EE + CS
Computer Science components◦ Computer Vision◦ Artificial Intelligence◦ Machine Learning
◦ DATA MINING!!!
What is Robotics Engineering?
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Realtime Object Recognition Using Decision Tree Learning
DM: Decision Trees
From Ref.1 page 2
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From Ref.1 page 3
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Robot Mapping Using k-means Clustering Of Laser Range Sensor Data◦ Create a map of the environment
DM: Clustering
From Ref.3 page 2
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From Ref.3 page 2-3
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Not good with noise.
Clustering Limitations
From Ref.3 page 3
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Association Rules◦ Multi-robot Cooperative Pursuit Based on
Association Rule Data Mining The robots try to pursuit a target. Using association
rules, the robots form a group.
Other applications◦ Mining experimental data for dynamical invariants -
from cognitive robotics to computational biology Invariants = Something that is constant in the system Finding invariants = using unsupervised learning to
find patterns
Other DM Applications