↓ Skip to main content

Design, Modelling and Teleoperation of a 2 mm Diameter Compliant Instrument for the da Vinci Platform

Overview of attention for article published in Annals of Biomedical Engineering, May 2018
Altmetric Badge

Mentioned by

twitter
5 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
39 Mendeley
Title
Design, Modelling and Teleoperation of a 2 mm Diameter Compliant Instrument for the da Vinci Platform
Published in
Annals of Biomedical Engineering, May 2018
DOI 10.1007/s10439-018-2036-4
Pubmed ID
Authors

P. Francis, K. W. Eastwood, V. Bodani, T. Looi, J. M. Drake

Abstract

This work explores the feasibility of creating and accurately controlling an instrument for robotic surgery with a 2 mm diameter and a three degree-of-freedom (DoF) wrist which is compatible with the da Vinci platform. The instrument's wrist is composed of a two DoF bending notched-nitinol tube pattern, for which a kinematic model has been developed. A base mechanism for controlling the wrist is designed for integration with the da Vinci Research Kit. A basic teleoperation task is successfully performed using two of the miniature instruments. The performance and accuracy of the instrument suggest that creating and accurately controlling a 2 mm diameter instrument is feasible and the design and modelling proposed in this work provide a basis for future miniature instrument development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 18%
Student > Ph. D. Student 6 15%
Student > Master 4 10%
Lecturer 2 5%
Student > Postgraduate 2 5%
Other 4 10%
Unknown 14 36%
Readers by discipline Count As %
Engineering 15 38%
Medicine and Dentistry 3 8%
Computer Science 2 5%
Arts and Humanities 1 3%
Nursing and Health Professions 1 3%
Other 2 5%
Unknown 15 38%