DocumentCode
1191099
Title
Multirobot inspection of industrial machinery
Author
Correll, Nikolaus ; Martinoli, Alcherio
Author_Institution
Massachusetts Inst. of Technol. Cambridge, Cambridge, MA
Volume
16
Issue
1
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
103
Lastpage
112
Abstract
Inspection of aircraft and power generation machinery using a swarm of miniature robots is a promising application both from an intellectual and a commercial perspective. Our research is motivated by a case study concerned with the inspection of a jet turbine engine by a swarm of miniature robots. This article summarizes our efforts that include multirobot path planning, modeling of self-organized robotic systems, and the implementation of proof-of-concept experiments with real miniature robots. Although other research tackles challenges that arise from moving within three-dimensional (3-D) structured environments at the level of the individual robotic node, the emphasis of our work is on explicitly incorporating the potential limitations of the individual robotic platform in terms of sensor and actuator noise into the modeling and design process of collaborative inspection systems. We highlight difficulties and further challenges on the (lengthy) path toward truly autonomous parallel robotic inspection of complex engineered structures.
Keywords
industrial robots; inspection; multi-robot systems; path planning; aircraft inspection; autonomous parallel robotic inspection; industrial machinery; jet turbine engine; miniature robot swarm; multirobot inspection; multirobot path planning; power generation machinery inspection; self-organized robotic systems; three-dimensional structured environments; Aircraft propulsion; Engines; Inspection; Machinery; Path planning; Power generation; Robot sensing systems; Sensor systems; Service robots; Turbines; Swarm robotics, turbine inspection, self-organization, distributed coverage, networked robotic systems;
fLanguage
English
Journal_Title
Robotics & Automation Magazine, IEEE
Publisher
ieee
ISSN
1070-9932
Type
jour
DOI
10.1109/MRA.2008.931633
Filename
4799452
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