Year: 2025
Type: conference-paper
Abstract: This article presents the development and evaluation of a robot-assisted intraoral scanning platform to enhance the precision and repeatability of dental digitization. Intraoral scanners (IOS), a key device in modern restorative dentistry, are highly dependent on practitioner skill, leading to variation in accuracy and increased risk of poorly fitting dental prostheses. A collaborative robot (cobot) is used to mitigate operator variability, reduce musculoskeletal strain and improve educational training. A UR5e cobot equipped with an adaptive gripper and a Dexis IS 3800W IOS was used to digitize a mandibular model, following two occlusal-vestibular-lingual (OVL) scanning pathways and employing two different recording resolutions. Trajectories were generated using SolidWorks and RoboDK software and validated through repeated trials, generating 40 STL files analyzed via Zeiss Inspect software. Metrics such as area of valid distance (AVD), integrated absolute distance (|ID|) and weighted normalized distance (wND) were computed to assess scan quality. In our experimental conditions, high-resolution scans increased surface coverage but did not improve trueness (wND). Initiating scans from the right side improved dimensional precision. Results demonstrate that cobot-assisted scanning can achieve accurate, repeatable digital impressions, offering significant benefits for clinical practice, dental education and telemedicine, particularly in underserved areas. Further trajectory optimization could enhance these outcomes, positioning robotic intraoral scanning as a promising tool in future dental workflows.
Language: English
Subfield: Orthodontics
Field: Dentistry
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4416281270
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