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Naslov:Task-oriented evaluation of the feasible kinematic directional capabilities for robot machining
Avtorji:ID Stradovnik, Saša (Avtor)
ID Hace, Aleš (Avtor)
Datoteke:.pdf sensors-22-04267-v3.pdf (9,47 MB)
MD5: F7E9F4491FA2D89F44C4711AAD366992
 
URL https://www.mdpi.com/1424-8220/22/11/4267
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:Performing the machining of complex surfaces can be a challenging task for a robot, especially in terms of collaborative robotics, where the available motion capabilities are greatly reduced in comparison with conventional industrial robot arms. It is necessary to evaluate these capabilities prior to task execution, for which we need efficient algorithms, especially in the case of flexible robot applications. To provide accurate and physically consistent information about the maximum kinematic capabilities while considering the requirements of the task, an approach called the Decomposed Twist Feasibility (DTF) method is proposed in this study. The evaluation of the maximum feasible end-effector velocity is based on the idea of decomposition into the linear and angular motion capabilities, considering a typical robot machining task with synchronous linear and angular motion. The proposed DTF method is presented by the well-known manipulability polytope concept. Unlike the existing methods that estimate the kinematic performance capabilities in arbitrarily weighted twist space, or separately in the translation and the rotation subspace, our approach offers an accurate and simple solution for the determination of the total kinematic performance capabilities, which is often highly required, especially in the case of robot machining tasks. The numerical results obtained in this study show the effectiveness of the proposed approach. Moreover, the proposed DTF method could represent suitable kinematic performance criteria for the optimal placement of predefined tasks within the robot workspace
Ključne besede:robot surface machining, task feasibility, task-dependent kinematic capability, kinematic performance evaluation, manipulability index, manipulability polytope, motion decomposition, Decomposed Twist Feasibility method, DTF method
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:26.04.2022
Datum sprejetja članka:01.06.2022
Datum objave:03.06.2022
Založnik:MDPI AG
Leto izida:2022
Št. strani:25 str.
Številčenje:Vol. 22, iss. 11
PID:20.500.12556/DKUM-92351 Novo okno
UDK:007.52
COBISS.SI-ID:110633219 Novo okno
DOI:10.3390/s22114267 Novo okno
ISSN pri članku:1424-8220
Avtorske pravice:© 2022 by the authors.
Datum objave v DKUM:01.04.2025
Število ogledov:136
Število prenosov:9
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Sensors
Skrajšan naslov:Sensors
Založnik:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P2-0028-2019
Naslov:Mehatronski sistemi

Financer:Republic of Slovenia and the European Union
Program financ.:European Regional Development Fund
Številka projekta:grant number OP20.03540
Akronim:ROBOTOOL-1

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:robotski stroji, kinematika


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