Paper
2 May 2007 Supervised autonomy for robotic inspection
Kevin L. Moore, Johnny Mollerup Larsen, Martin Stampe Qvistgaard
Author Affiliations +
Abstract
Experience deploying robots for security and inspection tasks shows that often the activity of "driving" the robot interferes with the activity of observing the sensor data (often visual) collected by the robot. It has been suggested that the supervised autonomy paradigm can improve system performance. In this approach, some aspects of the robot's actions are automated, particularly motion control, freeing the operator to focus on the inspection task. In this paper we describe the laboratory-level proof-of-concept development and implementation of a semi-autonomous mode for the ODIS robot, whereby, under the direction and supervision of an operator, the robot can self-navigate in a limited structured environment while sending back video images for operator inspection. Laboratory results show the feasibility of the approach.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kevin L. Moore, Johnny Mollerup Larsen, and Martin Stampe Qvistgaard "Supervised autonomy for robotic inspection", Proc. SPIE 6561, Unmanned Systems Technology IX, 65610P (2 May 2007); https://doi.org/10.1117/12.718806
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KEYWORDS
Robots

MATLAB

Cameras

Image processing

Inspection

Video

Binary data

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