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Tabletop or object detector for indigo

asked 2015-02-03 07:19:11 -0500

-_- gravatar image

I need to recognize objects on the tabletop, and return their coordinates and sizes to my manipulator, but I want to also run this algorithm in the simulation (v-rep). I have previously written an object recognizer using tabletop_object_detector in ros fuerte using the PR2 pick and place tutorials, and I need to update the code so I can use it with indigo. However, there is no "tabletop_object_detector/TabletopDetection.h" file and the structure of the tabletop has changed as I have downloaded the ORK library (both as ros-indigo library and the source code from website) and looked at its source codes. I checked the website as well, but I couldn't find any tutorials on how to write a code based on the new library and there is no PR2 pick and place tutorial for indigo, so I'm stuck. Could anyone please give an advice on which library should I use, perhaps a tutorial? Or is there any other library which is more easy to use with tutorials and instructions in order to use it within my own code?

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answered 2015-02-03 07:33:19 -0500

dornhege gravatar image

updated 2015-02-03 10:04:57 -0500

I believe that ORK is the replacement (it also includes a tabletop detector). At least that is what we are using. The messages/datatypes might be different, but the information is still there.

This should be the relevant tutorials. At the end you get an ObjectRecognitionResult, which is basically a list of RecognizedObject. If you explicitly want the table information a separate message /table_array is also published (only when using TableTopDetection).

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I know that ORK is the replacement library, that is why I installed it, however, since the structure is different I don't know which message types to publish. Could you give a more specific example on how to use the library? Like what is used instead of tabletop_object_detector::TabletopDetection?

-_- gravatar image -_-  ( 2015-02-03 08:13:32 -0500 )edit

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Asked: 2015-02-03 07:19:11 -0500

Seen: 682 times

Last updated: Feb 03 '15