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Optical Proximity Sensor Systems for Intelligent Robot Hands

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

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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