Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155152
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dc.contributor.authorLakshminarayanan, Srinivasanen_US
dc.contributor.authorKana, Sreekanthen_US
dc.contributor.authorMohan, Dhanya Menothen_US
dc.contributor.authorManyar, Omey Mohanen_US
dc.contributor.authorThen, Daviden_US
dc.contributor.authorCampolo, Domenicoen_US
dc.date.accessioned2022-02-14T07:51:27Z-
dc.date.available2022-02-14T07:51:27Z-
dc.date.issued2021-
dc.identifier.citationLakshminarayanan, S., Kana, S., Mohan, D. M., Manyar, O. M., Then, D. & Campolo, D. (2021). An adaptive framework for robotic polishing based on impedance control. International Journal of Advanced Manufacturing Technology, 112(1-2), 401-417. https://dx.doi.org/10.1007/s00170-020-06270-1en_US
dc.identifier.issn0268-3768en_US
dc.identifier.urihttps://hdl.handle.net/10356/155152-
dc.description.abstractPrecise finishing operations such as chamfering and filleting are characterized by relatively low contact forces and low material removal. For such processes, conventional automation approaches like pre-programmed position or force control without adaptations are not suitable to obtain fine surface finishing with high profile accuracy. As a result, polishing tasks are still mainly carried out manually by skilled operators. In this paper, we propose an adaptive framework capable of polishing a wide range of materials including hard metals like titanium using a collaborative robot. We propose an iterative learning controller based on impedance control that adapts both position and forces simultaneously in each iteration to regulate the polishing process. The proposed controller can track the desired profile without any a priori knowledge of the forces required to polish different materials. In addition, we introduce a novel mathematical model to generate the complex filleting toolpath based on Lissajous curves. Trials are carried out in finishing tasks such as chamfering and filleting using a collaborative industrial robot to validate the novel framework. Surface roughness and profile measurements show that our adaptive controller can obtain fine polishing output in various materials such as titanium, aluminum, and wood.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relationRG48/17en_US
dc.relation.ispartofInternational Journal of Advanced Manufacturing Technologyen_US
dc.rights© 2020 Springer-Verlag London Ltd., part of Springer Nature. All rights reserved.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleAn adaptive framework for robotic polishing based on impedance controlen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.researchRolls-Royce@NTU Corporate Laben_US
dc.identifier.doi10.1007/s00170-020-06270-1-
dc.identifier.scopus2-s2.0-85096369186-
dc.identifier.issue1-2en_US
dc.identifier.volume112en_US
dc.identifier.spage401en_US
dc.identifier.epage417en_US
dc.subject.keywordsCollaborative Robotsen_US
dc.subject.keywordsImpedance Controlen_US
dc.description.acknowledgementThis project was conducted within the Rolls-Royce@NTU Corporate Lab with support from the National Research Foundation (NRF), Singapore under the Corp Lab@University Scheme. This grant was partly supported by the MOE Tier1 grant (RG48/17).en_US
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