Evaluation of a custom‐designed human–robot collaboration control system for dental implant robot

Background The purpose of this study is to develop a methodology to better control a human–robot collaboration for robotic dental implant placement. We have designed a human–robot collaborative implant system (HRCDIS) which is based on a zero‐force hand‐guiding concept and a operational task managem...

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Published inThe international journal of medical robotics + computer assisted surgery Vol. 18; no. 1; pp. e2346 - n/a
Main Authors Kan, Tian‐shu, Cheng, Kang‐jie, Liu, Yun‐feng, Wang, Russell, Zhu, Wei‐dong, Zhu, Fu‐dong, Jiang, Xian‐feng, Dong, Xing‐tao
Format Journal Article
LanguageEnglish
Published England Wiley Subscription Services, Inc 01.02.2022
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ISSN1478-5951
1478-596X
1478-596X
DOI10.1002/rcs.2346

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Abstract Background The purpose of this study is to develop a methodology to better control a human–robot collaboration for robotic dental implant placement. We have designed a human–robot collaborative implant system (HRCDIS) which is based on a zero‐force hand‐guiding concept and a operational task management workflow that can achieve highly accurate and stable osteotomy drilling based on a surgeon's decision and robotic arm movements during implant surgery. Method The HRCDIS brings forth the robot arm positions, exact drilling location, direction and performs automatic drilling. The HRCDIS can also avoid complex programing in the robot. The purpose of the study is to evaluate the accuracy of drilling resulting from our developed operational task management method (OTMM). The OTMM can enable the robot to switch, pause, and resume drilling tasks. The force required for hand‐guiding in a zero‐force control mode of the robot was detected by a 6D force sensor. We compared our force data to those provided by the manufacturer's manual. The study was conducted on a phantom head with a 3D‐printed jaw bone to verify the validity of our HRCDIS. We appraised the discrepancies between free‐hand drillings and the HRCDIS controlled drillings at apical centre and head centre of the implant and implant angulation to the baseline data from a virtual surgical planning model. Results The average required force used by hand‐guiding to operate the robot with HRCDIS was near 7 Newton which is much less than the manufacturer's specification (30 Newton). The results from our study showed that the average error at implant head was 1.04 ± 0.37 mm, 1.56 ± 0.52 mm at the implant apex, and deviation of implant angle was 3.74 ± 0.67°. Conclusions The results from this study validate the merit of the human–robot collaboration control by the HRCDIS. Based on the improved navigation system using HRCDIS, a robotic implant placement can provide seamless drilling with ease, efficiency and accuracy.
AbstractList BackgroundThe purpose of this study is to develop a methodology to better control a human–robot collaboration for robotic dental implant placement. We have designed a human–robot collaborative implant system (HRCDIS) which is based on a zero‐force hand‐guiding concept and a operational task management workflow that can achieve highly accurate and stable osteotomy drilling based on a surgeon's decision and robotic arm movements during implant surgery.MethodThe HRCDIS brings forth the robot arm positions, exact drilling location, direction and performs automatic drilling. The HRCDIS can also avoid complex programing in the robot. The purpose of the study is to evaluate the accuracy of drilling resulting from our developed operational task management method (OTMM). The OTMM can enable the robot to switch, pause, and resume drilling tasks. The force required for hand‐guiding in a zero‐force control mode of the robot was detected by a 6D force sensor. We compared our force data to those provided by the manufacturer's manual. The study was conducted on a phantom head with a 3D‐printed jaw bone to verify the validity of our HRCDIS. We appraised the discrepancies between free‐hand drillings and the HRCDIS controlled drillings at apical centre and head centre of the implant and implant angulation to the baseline data from a virtual surgical planning model.ResultsThe average required force used by hand‐guiding to operate the robot with HRCDIS was near 7 Newton which is much less than the manufacturer's specification (30 Newton). The results from our study showed that the average error at implant head was 1.04 ± 0.37 mm, 1.56 ± 0.52 mm at the implant apex, and deviation of implant angle was 3.74 ± 0.67°.ConclusionsThe results from this study validate the merit of the human–robot collaboration control by the HRCDIS. Based on the improved navigation system using HRCDIS, a robotic implant placement can provide seamless drilling with ease, efficiency and accuracy.
The purpose of this study is to develop a methodology to better control a human-robot collaboration for robotic dental implant placement. We have designed a human-robot collaborative implant system (HRCDIS) which is based on a zero-force hand-guiding concept and a operational task management workflow that can achieve highly accurate and stable osteotomy drilling based on a surgeon's decision and robotic arm movements during implant surgery. The HRCDIS brings forth the robot arm positions, exact drilling location, direction and performs automatic drilling. The HRCDIS can also avoid complex programing in the robot. The purpose of the study is to evaluate the accuracy of drilling resulting from our developed operational task management method (OTMM). The OTMM can enable the robot to switch, pause, and resume drilling tasks. The force required for hand-guiding in a zero-force control mode of the robot was detected by a 6D force sensor. We compared our force data to those provided by the manufacturer's manual. The study was conducted on a phantom head with a 3D-printed jaw bone to verify the validity of our HRCDIS. We appraised the discrepancies between free-hand drillings and the HRCDIS controlled drillings at apical centre and head centre of the implant and implant angulation to the baseline data from a virtual surgical planning model. The average required force used by hand-guiding to operate the robot with HRCDIS was near 7 Newton which is much less than the manufacturer's specification (30 Newton). The results from our study showed that the average error at implant head was 1.04 ± 0.37 mm, 1.56 ± 0.52 mm at the implant apex, and deviation of implant angle was 3.74 ± 0.67°. The results from this study validate the merit of the human-robot collaboration control by the HRCDIS. Based on the improved navigation system using HRCDIS, a robotic implant placement can provide seamless drilling with ease, efficiency and accuracy.
Background The purpose of this study is to develop a methodology to better control a human–robot collaboration for robotic dental implant placement. We have designed a human–robot collaborative implant system (HRCDIS) which is based on a zero‐force hand‐guiding concept and a operational task management workflow that can achieve highly accurate and stable osteotomy drilling based on a surgeon's decision and robotic arm movements during implant surgery. Method The HRCDIS brings forth the robot arm positions, exact drilling location, direction and performs automatic drilling. The HRCDIS can also avoid complex programing in the robot. The purpose of the study is to evaluate the accuracy of drilling resulting from our developed operational task management method (OTMM). The OTMM can enable the robot to switch, pause, and resume drilling tasks. The force required for hand‐guiding in a zero‐force control mode of the robot was detected by a 6D force sensor. We compared our force data to those provided by the manufacturer's manual. The study was conducted on a phantom head with a 3D‐printed jaw bone to verify the validity of our HRCDIS. We appraised the discrepancies between free‐hand drillings and the HRCDIS controlled drillings at apical centre and head centre of the implant and implant angulation to the baseline data from a virtual surgical planning model. Results The average required force used by hand‐guiding to operate the robot with HRCDIS was near 7 Newton which is much less than the manufacturer's specification (30 Newton). The results from our study showed that the average error at implant head was 1.04 ± 0.37 mm, 1.56 ± 0.52 mm at the implant apex, and deviation of implant angle was 3.74 ± 0.67°. Conclusions The results from this study validate the merit of the human–robot collaboration control by the HRCDIS. Based on the improved navigation system using HRCDIS, a robotic implant placement can provide seamless drilling with ease, efficiency and accuracy.
The purpose of this study is to develop a methodology to better control a human-robot collaboration for robotic dental implant placement. We have designed a human-robot collaborative implant system (HRCDIS) which is based on a zero-force hand-guiding concept and a operational task management workflow that can achieve highly accurate and stable osteotomy drilling based on a surgeon's decision and robotic arm movements during implant surgery.BACKGROUNDThe purpose of this study is to develop a methodology to better control a human-robot collaboration for robotic dental implant placement. We have designed a human-robot collaborative implant system (HRCDIS) which is based on a zero-force hand-guiding concept and a operational task management workflow that can achieve highly accurate and stable osteotomy drilling based on a surgeon's decision and robotic arm movements during implant surgery.The HRCDIS brings forth the robot arm positions, exact drilling location, direction and performs automatic drilling. The HRCDIS can also avoid complex programing in the robot. The purpose of the study is to evaluate the accuracy of drilling resulting from our developed operational task management method (OTMM). The OTMM can enable the robot to switch, pause, and resume drilling tasks. The force required for hand-guiding in a zero-force control mode of the robot was detected by a 6D force sensor. We compared our force data to those provided by the manufacturer's manual. The study was conducted on a phantom head with a 3D-printed jaw bone to verify the validity of our HRCDIS. We appraised the discrepancies between free-hand drillings and the HRCDIS controlled drillings at apical centre and head centre of the implant and implant angulation to the baseline data from a virtual surgical planning model.METHODThe HRCDIS brings forth the robot arm positions, exact drilling location, direction and performs automatic drilling. The HRCDIS can also avoid complex programing in the robot. The purpose of the study is to evaluate the accuracy of drilling resulting from our developed operational task management method (OTMM). The OTMM can enable the robot to switch, pause, and resume drilling tasks. The force required for hand-guiding in a zero-force control mode of the robot was detected by a 6D force sensor. We compared our force data to those provided by the manufacturer's manual. The study was conducted on a phantom head with a 3D-printed jaw bone to verify the validity of our HRCDIS. We appraised the discrepancies between free-hand drillings and the HRCDIS controlled drillings at apical centre and head centre of the implant and implant angulation to the baseline data from a virtual surgical planning model.The average required force used by hand-guiding to operate the robot with HRCDIS was near 7 Newton which is much less than the manufacturer's specification (30 Newton). The results from our study showed that the average error at implant head was 1.04 ± 0.37 mm, 1.56 ± 0.52 mm at the implant apex, and deviation of implant angle was 3.74 ± 0.67°.RESULTSThe average required force used by hand-guiding to operate the robot with HRCDIS was near 7 Newton which is much less than the manufacturer's specification (30 Newton). The results from our study showed that the average error at implant head was 1.04 ± 0.37 mm, 1.56 ± 0.52 mm at the implant apex, and deviation of implant angle was 3.74 ± 0.67°.The results from this study validate the merit of the human-robot collaboration control by the HRCDIS. Based on the improved navigation system using HRCDIS, a robotic implant placement can provide seamless drilling with ease, efficiency and accuracy.CONCLUSIONSThe results from this study validate the merit of the human-robot collaboration control by the HRCDIS. Based on the improved navigation system using HRCDIS, a robotic implant placement can provide seamless drilling with ease, efficiency and accuracy.
Author Kan, Tian‐shu
Jiang, Xian‐feng
Zhu, Wei‐dong
Zhu, Fu‐dong
Cheng, Kang‐jie
Wang, Russell
Liu, Yun‐feng
Dong, Xing‐tao
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  surname: Liu
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  givenname: Russell
  surname: Wang
  fullname: Wang, Russell
  organization: Case Western Reserve University School of Dental Medicine
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  givenname: Wei‐dong
  surname: Zhu
  fullname: Zhu, Wei‐dong
  organization: Zhejiang University
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  organization: Zhejiang University of Technology
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  givenname: Xing‐tao
  surname: Dong
  fullname: Dong, Xing‐tao
  organization: Zhejiang University of Technology
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Keywords dental implant robot
human-robot collaboration
human-robot collaborative dental implant system (HRCDIS)
zero-force control
operational task management
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Snippet Background The purpose of this study is to develop a methodology to better control a human–robot collaboration for robotic dental implant placement. We have...
The purpose of this study is to develop a methodology to better control a human-robot collaboration for robotic dental implant placement. We have designed a...
BackgroundThe purpose of this study is to develop a methodology to better control a human–robot collaboration for robotic dental implant placement. We have...
SourceID proquest
pubmed
crossref
wiley
SourceType Aggregation Database
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Enrichment Source
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StartPage e2346
SubjectTerms Biomedical materials
Collaboration
dental implant robot
Dental Implants
Drilling
Error analysis
Hand (anatomy)
Humans
human–robot collaboration
human–robot collaborative dental implant system (HRCDIS)
Navigation systems
operational task management
Phantoms, Imaging
Robot arms
Robot control
Robotic Surgical Procedures
Robotics
Robots
Surgery, Computer-Assisted
Three dimensional printing
Workflow
zero‐force control
Title Evaluation of a custom‐designed human–robot collaboration control system for dental implant robot
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Frcs.2346
https://www.ncbi.nlm.nih.gov/pubmed/34695880
https://www.proquest.com/docview/2618466592
https://www.proquest.com/docview/2586449220
Volume 18
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