1 / 9

Data Mining Applications in Robotics Engineering

Data Mining Applications in Robotics Engineering. Blink Sakulkueakulsuk. References. D. Wilking , and T. Rofer , Realtime Object Recognition Using Decision Tree Learning, 2005 http :// www.informatik.uni-bremen.de/kogrob/papers/rc05-objectrecognition.pd

makan
Download Presentation

Data Mining Applications in Robotics Engineering

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data Mining Applicationsin Robotics Engineering Blink Sakulkueakulsuk

  2. References • D. Wilking, and T. Rofer, Realtime Object Recognition Using Decision Tree Learning, 2005 http://www.informatik.uni-bremen.de/kogrob/papers/rc05-objectrecognition.pd • 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 • 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 • H. Lipson, Mining experimental data for dynamical invariants - from cognitive robotics to computational biology, 2010 http://videolectures.net/ecmlpkdd2010_lipson_med/

  3. What is Robotics Engineering? • Interdisciplinary Field • RBE = ME + EE + CS • Computer Science components • Computer Vision • Artificial Intelligence • Machine Learning • DATA MINING!!!

  4. DM: Decision Trees • Realtime Object Recognition Using Decision Tree Learning From Ref.1 page 2

  5. From Ref.1 page 3

  6. DM: Clustering • Robot Mapping Using k-means Clustering Of Laser Range Sensor Data • Create a map of the environment From Ref.3 page 2

  7. From Ref.3 page 2-3

  8. Clustering Limitations • Not good with noise. From Ref.3 page 3

  9. Other DM Applications • 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

More Related