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Posted by kartoun on January 2, 2006, 4:01 pm
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Here it is:
http://www.compactech.com/kartoun/videos/Uri_Kartoun_Plastic_Bag_Experiment_January_2_2006.wmv
Thanks,
Uri.
http://www.compactech.com/kartoun/
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Posted by Markus Zingg on January 2, 2006, 4:45 pm
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>Here it is:
>
>[WMV link snipped]
And now that yet another WMV exploit was discovered you seriousely
expect us to klick on THAT link?
**shaking my head**
Markus
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Posted by kartoun on January 3, 2006, 1:24 pm
Please log in for more thread options It's an academic video.
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Posted by kartoun on January 14, 2006, 6:11 pm
Please log in for more thread options Maybe this will clarify:
"To demonstrate the utility of the system, we focus on the task of bag
shaking. The usual method for bomb squad personnel is to blow up a
suspicious bag and any explosives contained therein. However, if the
bag contains chemical, biological or radiological canisters, this
method can lead to disastrous results. Furthermore, the "blow-up"
method also destroys important clues such as fingerprints, type of
explosive, detonators and other signatures of use in subsequent
forensic analysis. Extraction of the bags contents using telerobotics,
which avoids these problems, is the subject addressed here. In the
on-line control mode suggested here, the user controls the robot to
perform the task or develops a plan off-line before downloading it to
the robot's controller for execution. For off-line bag shaking, the
HO chooses a sequence of spatial locations (including inter point
speeds) in the VR model to define a shaking trajectory. The trajectory
is then downloaded to the real robot for execution."
(source:
http://www.compactech.com/kartoun/articles/html/eENGDET2004_Final.htm)
"The task, T, is to observe the position of an unknown bag (e.g.,
plastic bag, briefcase, backpack, or suitcase) located on a platform,
grasp it with a robot manipulator and shake out its contents on a table
or into a nearby container. It is assumed that all clasps, zippers and
locks have already been opened by another robotic operation. The system
is trained first for identifying several bag classes, but it has no
a-priori knowledge regarding to efficient grasping and shaking
policies. The system learns this knowledge from experience and from
human guidance."
(source:
http://www.compactech.com/kartoun/articles/html/CAITA_2004_Edan_Kartoun_Stern.htm)
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>[WMV link snipped]