Improving Rigid 3-D Calibration for Robotic Surgery
| Main Authors: | Andrea Roberti, Nicola Piccinelli, Daniele Meli, Riccardo Muradore, Paolo Fiorini |
|---|---|
| Format: | Article Journal |
| Terbitan: |
, 2020
|
| Online Access: |
https://zenodo.org/record/6299140 |
| ctrlnum |
6299140 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Andrea Roberti</creator><creator>Nicola Piccinelli</creator><creator>Daniele Meli</creator><creator>Riccardo Muradore</creator><creator>Paolo Fiorini</creator><date>2020-10-26</date><description>Autonomy is the next frontier of research in robotic surgery and its aim is to improve the quality of surgical procedures in the next future. One fundamental requirement for autonomy is advanced perception capability through vision sensors. In this article, we propose a novel calibration technique for a surgical scenario with a da Vinci ® Research Kit (dVRK) robot. Camera and robotic arms calibration are necessary to precise position and emulate expert surgeon. The novel calibration technique is tailored for RGB-D cameras. Different tests performed on relevant use cases prove that we significantly improve precision and accuracy with respect to state of the art solutions for similar devices on a surgical-size setups. Moreover, our calibration method can be easily extended to standard surgical endoscope used in real surgical scenario.</description><identifier>https://zenodo.org/record/6299140</identifier><identifier>10.1109/TMRB.2020.3033670</identifier><identifier>oai:zenodo.org:6299140</identifier><relation>info:eu-repo/grantAgreement/EC/H2020/779813/</relation><relation>url:https://zenodo.org/communities/saras-project</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>IEEE Transactions on Medical Robotics and Bionics 2(9) 569 - 573</source><title>Improving Rigid 3-D Calibration for Robotic Surgery</title><type>Journal:Article</type><type>Journal:Article</type><recordID>6299140</recordID></dc>
|
| format |
Journal:Article Journal Journal:Journal |
| author |
Andrea Roberti Nicola Piccinelli Daniele Meli Riccardo Muradore Paolo Fiorini |
| title |
Improving Rigid 3-D Calibration for Robotic Surgery |
| publishDate |
2020 |
| url |
https://zenodo.org/record/6299140 |
| contents |
Autonomy is the next frontier of research in robotic surgery and its aim is to improve the quality of surgical procedures in the next future. One fundamental requirement for autonomy is advanced perception capability through vision sensors. In this article, we propose a novel calibration technique for a surgical scenario with a da Vinci ® Research Kit (dVRK) robot. Camera and robotic arms calibration are necessary to precise position and emulate expert surgeon. The novel calibration technique is tailored for RGB-D cameras. Different tests performed on relevant use cases prove that we significantly improve precision and accuracy with respect to state of the art solutions for similar devices on a surgical-size setups. Moreover, our calibration method can be easily extended to standard surgical endoscope used in real surgical scenario. |
| id |
IOS16997.6299140 |
| institution |
ZAIN Publications |
| institution_id |
7213 |
| institution_type |
library:special library |
| library |
Cognizance Journal of Multidisciplinary Studies |
| library_id |
5267 |
| collection |
Cognizance Journal of Multidisciplinary Studies |
| repository_id |
16997 |
| subject_area |
Multidisciplinary |
| city |
Stockholm |
| province |
INTERNASIONAL |
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1 |
| repoId |
IOS16997 |
| first_indexed |
2022-06-06T03:32:21Z |
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2022-06-06T03:32:21Z |
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17.608967 |