Ersü, Enis ; Kegel, Gunther (2023)
Optical Proximity Sensor Systems for Intelligent Robot Hands.
In: IFAC Proceedings Volumes, 1986, 20 (4)
doi: 10.26083/tuprints-00023392
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Optical Proximity Sensor Systems for Intelligent Robot Hands |
| Language: | English |
| Date: | 2023 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 1986 |
| Publisher: | IFAC - International Federation of Automatic Control |
| Journal or Publication Title: | IFAC Proceedings Volumes |
| Volume of the journal: | 20 |
| Issue Number: | 4 |
| DOI: | 10.26083/tuprints-00023392 |
| Corresponding Links: | |
| Origin: | Secondary publication service |
| Abstract: | Optical proximity sensors are low-level vision sensors delivering low- and mid-range multidimensional information about the robots end-effector environment. Due to the fast signal processing they can be easily integrated in real-time robot control tasks. The paper presents the basic mechanical, hardware and software design principles of such a sensor, which uses distance measurement via optical triangulation as the basic method. For special robot tasks, special mechanical and hardware arrangements of the basic sensor type are needed. Two examples are shown for demonstration purposes. Possible applications are simple distance sensor devices, two-dimensional orientation sensors and optical robot teach-in units. Accuracy and efficiency of the sensor system are documented by using the sensor for recognizing holes and following arbitrary unknown contours. |
| Uncontrolled Keywords: | Position measurement, computer peripheral equipement, optical distance sensors, robot teach-in |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-233920 |
| Additional Information: | Zugl. Konferenzveröffentlichung: IFAC Symposium on Microcomputer Application in Process Control, 22.-25.07.1986, Istanbul, Turkey |
| Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems |
| Date Deposited: | 28 Apr 2023 08:10 |
| Last Modified: | 06 Jul 2023 15:06 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23392 |
| PPN: | 509348238 |
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