Paper
21 May 2004 Sharing skills: using augmented reality for human-robot collaboration
Bjorn Giesler, Peter Steinhaus, Marcus Walther, Ruediger Dillmann
Author Affiliations +
Proceedings Volume 5291, Stereoscopic Displays and Virtual Reality Systems XI; (2004) https://doi.org/10.1117/12.526689
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
Both stationary 'industrial' and autonomous mobile robots nowadays pervade many workplaces, but human-friendly interaction with them is still very much an experimental subject. One of the reasons for this is that computer and robotic systems are very bad at performing certain tasks well and robust. A prime example is classification of sensor readings: Which part of a 3D depth image is the cup, which the saucer, which the table? These are tasks that humans excel at. To alleviate this problem, we propose a team approah, wherein the robot records sensor data and uses an Augmented-Reality (AR) system to present the data to the user directly in the 3D environment. The user can then perform classification decisions directly on the data by pointing, gestures and speech commands. After the classification has been performed by the user, the robot takes the classified data and matches it to its environment model. As a demonstration of this approach, we present an initial system for creating objects on-the-fly in the environment model. A rotating laser scanner is used to capture a 3D snapshot of the environment. This snapshot is presented to the user as an overlay over his view of the scene. The user classifies unknown objects by pointing at them. The system segments the snapshot according to the user's indications and presents the results of segmentation back to the user, who can then inspect, correct and enhance them interactively. After a satisfying result has been reached, the laser-scanner can take more snapshots from other angles and use the previous segmentation hints to construct a 3D model of the object.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bjorn Giesler, Peter Steinhaus, Marcus Walther, and Ruediger Dillmann "Sharing skills: using augmented reality for human-robot collaboration", Proc. SPIE 5291, Stereoscopic Displays and Virtual Reality Systems XI, (21 May 2004); https://doi.org/10.1117/12.526689
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
3D modeling

Data modeling

Scanners

Sensors

Augmented reality

Goggles

Laser scanners

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