The Proceedings of Conference of Kanto Branch
Online ISSN : 2424-2691
ISSN-L : 2424-2691
2015.21
Session ID : 20206
Conference information
20206 Impacting-Based Active Detection and Picking of Various Objects
Hiroyuki HONDAYusuke MAEDA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
A method for object detection based on impacting is proposed here. In this method, a robot changes object positions by impacting. And then the robot can detect each of the objects individually from camera images before and after impacting. This detection is possible because feature points of each object always move consistently by impacting, while those of the background do not move. The proposed method was implemented and validated by picking experiments of various objects.
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© 2015 The Japan Society of Mechanical Engineers
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