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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang, C. Cannon, D.J. |
| Copyright Year | 1993 |
| Description | Author affiliation: Dept. of Ind. & Manage. Syst. Eng., Pennsylvania State Univ., PA, USA (Wang, C.; Cannon, D.J.) |
| Abstract | The development of a system for interweaving virtual reality tools with live video scenes to direct robots using video graphic gestures is described. This virtual point-and-direct (V-PAD) concept is applied to workpiece inspection. a normalized coding method is employed for surface flaw identification using a neural network based skeleton transform. The method is scale, location, and orientation invariant so that robotic placement of workpieces for inspection requires no exact precision from special fixturing. |
| Starting Page | 784 |
| Ending Page | 789 |
| File Size | 644433 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818634502 |
| DOI | 10.1109/ROBOT.1993.292240 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-05-02 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Inspection Neural networks Skeleton Fixtures Service robots Layout Humans Grippers Shape Intelligent networks |
| Content Type | Text |
| Resource Type | Article |
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