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From perception to precision : vision-based mobile robotic manipulation for assembly screwdriving
ID Stefanov, Aleksandar (Avtor), ID Zorman, Miha (Avtor), ID Šlajpah, Sebastjan (Avtor), ID Podobnik, Janez (Avtor), ID Mihelj, Matjaž (Avtor), ID Munih, Marko (Avtor)

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Izvleček
Flexible manufacturing demands automation that is both precise and adaptable. However, tasks such as screwdriving are typically automated using costly, rigid robotic cells, making this approach impractical for low-volume, high-mix production. As a scalable solution, mobile manipulators offer a flexible alternative, but achieving the required precision for screwdriving remains challenging due to localization uncertainties. This paper addresses these limitations by presenting a vision-guided mobile robotic manipulation system that performs high-precision screwdriving using only monocular RGB imagery. The proposed pipeline integrates stationary and onboard cameras with perception algorithms for object identification and segmentation, pose estimation, and CAD-based screw hole localization, compensating for base misalignment and object placement variability. Experimental validation using ISO 9283 standard’s metrics demonstrates a translational accuracy between 0.21 mm and 0.50 mm across multiple screw positions. Additionally, the system achieves angular estimation errors as low as 0.07◦ to 0.20◦ , verifying its capability for sub-degree precision in orientation estimation. In 50 independent experiments involving a total of 400 screw insertions, the system achieved a 100 % success rate, confirming its reliability in practical conditions. These results confirm the feasibility of using RGB-only vision for precision screwdriving and highlight the mobile manipulation system’s scalability for real-world semi-structured manufacturing environments.

Jezik:Angleški jezik
Ključne besede:mobile manipulation, vision-based control screwdriving, robotics, perception algorithms assembly automation
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FE - Fakulteta za elektrotehniko
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2026
Št. strani:16 str.
Številčenje:Vol. 98, art 103148
PID:20.500.12556/RUL-174614 Povezava se odpre v novem oknu
UDK:007.52
ISSN pri članku:0736-5845
DOI:10.1016/j.rcim.2025.103148 Povezava se odpre v novem oknu
COBISS.SI-ID:252036611 Povezava se odpre v novem oknu
Datum objave v RUL:07.10.2025
Število ogledov:210
Število prenosov:86
Metapodatki:XML DC-XML DC-RDF
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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:mobilna manipulacija, računalniški vid, vijačenje robotika, algoritmi zaznave avtomatizirano sestavljanje

Projekti

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:TN06-0106
Naslov:Digitalna transformacija robotiziranih tovarn prihodnosti
Akronim:DIGITOP

Financer:Ministrstvo za visoko šolstvo, znanost in inovacije
Naslov:Digitalna transformacija robotiziranih tovarn prihodnosti
Akronim:DIGITOP

Financer:EC - European Commission
Program financ.:NextGeneration EU
Naslov:Digitalna transformacija robotiziranih tovarn prihodnosti
Akronim:DIGITOP

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P2-0228-2022
Naslov:Analiza in sinteza gibanja pri človeku in stroju

Financer:EC - European Commission

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