ROSI: A Robotic System for Harsh Outdoor Industrial Inspection - System Design and Applications

Belt Conveyors are essential for transporting dry bulk material in different industries. Such structures require permanent inspections, traditionally executed by human operators based on cognition. To improve working conditions and process standardization, we propose a novel procedure to inspect con...

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Veröffentlicht in:	Journal of intelligent & robotic systems Jg. 103; H. 2; S. 30
Hauptverfasser:	Rocha, Filipe, Garcia, Gabriel, Pereira, Raphael F. S., Faria, Henrique D., Silva, Thales H., Andrade, Ricardo H. R., Barbosa, Evelyn S., Almeida, André, Cruz, Emanuel, Andrade, Wagner, Serrantola, Wenderson G., Moura, Luiz, Azpúrua, Héctor, Franca, André, Pessin, Gustavo, Freitas, Gustavo M., Costa, Ramon R., Lizarralde, Fernando
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.10.2021 Springer Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Belt conveyors Cognition Contact force Control Conveying machinery Data mining Decoupling Electrical Engineering Energy conservation Energy consumption Engineering Fault detection Field tests Hybrid systems Innovations Inspection Locomotion Machine learning Mechanical Engineering Mechatronics Mineral industry Mining industry Regular Paper Robot arms Robot control Robot dynamics Robotics Robots Sensors Standardization Systems design Topical collection on ICAR 2019 Special Issue Assisted operation control Belt conveyor inspection Mobile manipulator design Service robot Machine learning for industrial inspection
ISSN:	0921-0296, 1573-0409
Online-Zugang:	Volltext
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