Title data
Gradmann, Michael ; Orendt, Eric M. ; Schmidt, Edgar ; Schweizer, Stephan ; Henrich, Dominik:
Augmented Reality Robot Operation Interface with Google Tango.
In:
50th International Symposium on Robotics. -
München
,
2018
. - pp. 1-8
Related URLs
Project information
Project title: |
Project's official title Project's id INTROP No information MRI No information |
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Abstract in another language
In this paper we present a novel smart-device-based robot operation interface providing augmented reality (AR) and utilizing a device equipped with self-tracking functionality and a depth camera according to Google Tango reference design. The robot can be both programmed remotely by our Java application and taught by kinesthetic programming. The system also provides an object detection that is capable of recognizing objects. Additionally we designed and investigated an adaptive program execution. The ease of use is ensured by AR features such as the highlighting of detected objects and the preview of robot operations. The main contribution is a robot operation interface that can be multifariously programmed and is capable of adapting to changing surroundings based on commercially available devices.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Additional notes: | Awarded with Best Paper Award |
Keywords: | Human-Robot Interaction; intuitive robot programming; multisensor systems |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
Date Deposited: | 18 Feb 2025 10:42 |
Last Modified: | 14 Mar 2025 10:11 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92433 |