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
Link To Document :
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