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Suction control of a robotic gripper: A neuro-fuzzy approach

Tsourveloudis Nikolaos, K. P. Valavanis, D. Gracanin, R. Kolluru

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URIhttp://purl.tuc.gr/dl/dias/28332251-B59F-496F-850E-B0ECE23C3477-
Identifierhttps://doi.org/10.1023/A:1008182619159-
Languageen-
Extent20 pagesen
TitleSuction control of a robotic gripper: A neuro-fuzzy approachen
CreatorTsourveloudis Nikolaosen
CreatorΤσουρβελουδης Νικολαοςel
CreatorK. P. Valavanisen
CreatorD. Gracaninen
CreatorR. Kolluruen
PublisherKluwer Academicen
Content SummaryThis paper discusses a fuzzy logic control system designed to determine, regulate and maintain the amount of suction needed by a robotic gripper system to perform reliable limp material manipulation. A neuro-fuzzy approach is followed to determine the amount of desired suction (depending on experimentally derived data and plant characteristics). A knowledge-based valve controller is then designed to generate, regulate and maintain the amount of suction calculated by the neuro-fuzzy suction module. The performance of the overall suction control system is compared with actual experimental results obtained when using a prototype gripper system to handle limp material. Further, performance of the fuzzy logic based valve controller is compared to conventional PD and PID controllers. The proposed control scheme is found to enhance the overall functionality of the prototype robotic gripper system.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-08-
Date of Publication2000-
SubjectRobot programmingen
Subjectrobots programmingen
Subjectrobot programmingen
Bibliographic CitationN. C.Tsourveloudis , R. Kolluru, K. P. Valavanis, D. Gracanin, 'Suction control of a robotic gripper system: A neuro-fuzzy approach', Int. J. of Int. and Robotic Syst., vol. 27, no. 3, pp. 215-235, 2000 .doi :10.1023/A:1008182619159en

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