z-logo
Premium
Selective automation and skill transfer in medical robotics: a demonstration on surgical knot‐tying
Author(s) -
Knoll Alois,
Mayer Hermann,
Staub Christoph,
Bauernschmitt Robert
Publication year - 2012
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.1419
Subject(s) - computer science , robot , artificial intelligence , task (project management) , human–computer interaction , tying , robotics , transfer of training , knot tying , transfer of learning , robotic surgery , automation , knowledge management , medicine , mechanical engineering , surgery , management , engineering , economics , operating system
Background Transferring non‐trivial human manipulation skills to robot systems is a challenging task. There have been a number of attempts to design research systems for skill transfer, but the level of the complexity of the actual skills transferable to the robot was rather limited, and delicate operations requiring a high dexterity and long action sequences with many sub‐operations were impossible to transfer. Methods A novel approach to human–machine skill transfer for multi‐arm robot systems is presented. The methodology capitalizes on the metaphor of ‘scaffolded learning’, which has gained widespread acceptance in psychology. The main idea is to formalize the superior knowledge of a teacher in a certain way to generate support for a trainee. In our case, the scaffolding is constituted by abstract patterns, which facilitate the structuring and segmentation of information during ‘learning by demonstration’. The actual skill generalization is then based on simulating fluid dynamics. Results The approach has been successfully evaluated in the medical domain for the delicate task of automated knot‐tying for suturing with standard surgical instruments and a realistic minimally invasive robotic surgery system. Copyright © 2012 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here