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Enhanced computational technique for stiffness matrix identification of robotic manipulator components

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conference contribution
posted on 2025-01-06, 16:35 authored by Alexandr KlimchikAlexandr Klimchik, Eldo Paul, Hariharan Krishnaswamy, Anatol Pashkevich

The paper deals with stiffness matrix identification of complex-shape robotic links. It proposes an enhancement that simplifies the identification procedure by splitting the link into simple segments for which the identification procedure is trivial. Further, the segments’ stiffness matrices are aggregated into the desired link stiffness matrix. The proposed enhancement allows users to avoid ambiguity with reference points for link connections with multiple surfaces. The developed technique is applied to real-world problem dealing with tool stiffness matrix identifications from the CAD-based virtual experiments. 

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)

Publisher

IEEE

ISSN

2576-3547

eISSN

2576-3555

ISBN

979-8-3503-7398-1

eISBN

979-8-3503-7397-4, 979-8-3503-7396-7

Date Accepted

2024-05-10

Date of Final Publication

2024-10-18

Event Name

July 01-04, 2024

Event Dates

2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)

Publisher statement

© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

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