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Augmented Reality Robot Operation Interface with Google Tango

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

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
INTROP
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MRI
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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
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