Video of Shaking the Contents of a Suspicious Package by a Motoman UP6 Robot

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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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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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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It's an academic video.
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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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