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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Faibish, S. Bacakoglu, H. Goldenberg, A.A. |
| Copyright Year | 1997 |
| Description | Author affiliation: Robotics & Autom. Lab., Toronto Univ., Ont., Canada (Faibish, S.) |
| Abstract | Presents a robotic system used for detection, sorting and grading of paper objects as a part of an automated paper recycling system. The system uses stereo vision to estimate in real time the spatial position of moving objects on a conveyor to be picked by the robot arm. It was proved in the literature that stereo vision may be successfully used to estimate position of moving objects, with a priori known shape, and generate commands to a robot arm for picking up the object. A special computing architecture is introduced for performing the task in real time. A vector of geometric and textural features is used for sorting the paper, according to its grade. The grading process uses color vision and additional contact ultrasonic sensors. A new data fusion paradigm, based on supervised learning, is used. The data fusion algorithm combines stereo vision and ultrasonic sensors to detect and grade paper objects. |
| Starting Page | 9 |
| Ending Page | 14 |
| File Size | 683224 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780336127 |
| DOI | 10.1109/ROBOT.1997.620008 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-04-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Recycling Stereo vision Robotics and automation Object detection Sorting Robot vision systems Real time systems Shape Robot sensing systems Computer architecture |
| Content Type | Text |
| Resource Type | Article |
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