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Thread View: comp.robotics.research
1 messages
1 total messages Started by Smith11 C Sun, 14 Apr 1996 22:40
Table-tennis simulator used for testing neural networks
#1
Author: Smith11 C
Date: Sun, 14 Apr 1996 22:40
33 lines
1781 bytes
We think we have a project that is relevant to machine learning.
The aim is to test neural nets (or other machine learning techniques)
playing table-tennis.

Hopefully you will be able to find all relevant information in our
webpage:

http://peipa.essex.ac.uk/vase/projects/table-tennis/

We apologise to those people who read this post already and have
tried to contact us at the above mentioned address. Our server
went down the same day we last posted this Article. It should
be up and running now, sorry.

ABSTRACT:

A 2-D virtual simulator for table tennis has been designed to run on both
X-Windows and Miscrosoft Windows platforms (implemented in C++).
Expert automated robot controller, as C++ function call, is used to test
and train Intelligent Systems to play the game.
The latter ones are implemented using Neural Networks.
Mouse interface is also available.

---
Diego d'Aulignac & Angelos Moschovinos
email: eeproj11@essex.ac.uk

--
*****   Crossposted with comp.robotics.research (moderated)  *****
  Summary: Academic, government & industry research in robotics.  
      Archives and information: http://www.robot.ireq.ca/CRR      
         Charter: ftp://ftp.robot.ireq.ca/pub/crr/Charter         
      Meta-discussions/information: crr-request@robot.ireq.ca     
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