Scene adaptive RGB-D based oscillation sensing for a multi flexible link robot arm in unstructured dynamic environments

The paper experimentally compares six visual oscillation sensing approaches for a three degrees of freedom flexible link robot arm with an eye-in-hand RGB-D camera. The comparison includes five representative scenarios. Based upon the results the authors propose a novel scene adaptive camera motion...

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Bibliographic Details
Main Authors: Malzahn, J., Phung, A. S., Bertram, T.
Format: Conference Proceeding
Language:English
Subjects:
3D computer vision
Cameras
Image reconstruction
Iterative closest point algorithm
Multi link flexible robots
Oscillators
Robot sensing systems
visual oscillation sensing
Visualization
Online Access:Request full text
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Summary:The paper experimentally compares six visual oscillation sensing approaches for a three degrees of freedom flexible link robot arm with an eye-in-hand RGB-D camera. The comparison includes five representative scenarios. Based upon the results the authors propose a novel scene adaptive camera motion reconstruction scheme. The scheme adaptively selects the best approach according to the actual scene texture and depth profile. Experiments in indoor scenarios with sparse texture, poor depth profiles as well as dynamic scene contents approve the obtained signal quality to be well suited for visual vibration damping of flexible link robot arms in a great variety of frequently observed scenarios.
ISSN:2153-0858
2153-0866
DOI:10.1109/IROS.2012.6385627