Robot Technology in Analyzing Tooth Removal

A Proof of Concept

Conference Paper (2020)
Authors

T. C.T. van Riet (Amsterdam UMC)

Willem M. De Graaf (Student TU Delft)

R. van Antwerpen (TU Delft - Support Biomechanical Engineering)

J. Van Frankenhuyzen (TU Delft - Support Biomechanical Engineering)

Jan de Lange (Amsterdam UMC)

Jens Kober (TU Delft - Learning & Autonomous Control)

Research Group
Learning & Autonomous Control
Copyright
© 2020 T.C.T. van Riet, Willem M. De Graaf, R. van Antwerpen, J. van Frankenhuyzen, Jan De Lange, J. Kober
To reference this document use:
https://doi.org/10.1109/EMBC44109.2020.9176405
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 T.C.T. van Riet, Willem M. De Graaf, R. van Antwerpen, J. van Frankenhuyzen, Jan De Lange, J. Kober
Research Group
Learning & Autonomous Control
Pages (from-to)
4721-4727
ISBN (electronic)
978-1-7281-1990-8
DOI:
https://doi.org/10.1109/EMBC44109.2020.9176405
Reuse Rights

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Abstract

a measurement setup is proposed that, for the first time, is capable of capturing the combination of high forces and subtle movements exerted during tooth removal procedures in high detail and in a reproducible manner by using robot technology. The outcomes of a design process from a collaboration between clinicians, mechanical and software engineers together with first results are presented in this proof of concept.Clinical relevance - by measuring all aspects of tooth removal in a single setup a strong database can be build that will deliver the data needed to gain scientific understanding of what makes (un)successful tooth removal. It gives a unique opportunity to model the procedure, evaluate techniques, understand and predict adverse events as well as to create new evidence-based teaching methods.

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