Journal
IEEE TRANSACTIONS ON CYBERNETICS
Volume 52, Issue 8, Pages 8019-8031Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2021.3051837
Keywords
Force; Training; Instruments; Task analysis; Electron tubes; Navigation; Force feedback; Adaptive systems; assistive technology; force feedback; fuzzy control; sliding-mode control; surgical training; virtual fixtures
Categories
Funding
- National Science Foundation [1622589]
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1622589] Funding Source: National Science Foundation
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An adaptive force guidance system for laparoscopic surgery training uses self-adjusting fuzzy sliding mode controllers and switching mode controllers to provide appropriate force feedback. The system incorporates human factors and mimics the guidance of a human instructor by using virtual fixtures. Implemented and evaluated on the computer-assisted surgical trainer, the system's effects are presented based on experimental test results.
We present an adaptive force guidance system for laparoscopic surgery skills training. This system consists of self-adjusting fuzzy sliding-mode controllers and switching mode controllers to provide proper force feedback. Using virtual fixtures, the proposed system restricts motions or guides a trainee to navigate a surgical instrument in a 3-D space in a manner that mimics a human instructor who would teach the trainees by holding their hands. The self-adjusting controllers incorporate human factors, such as different force sensitivity and proficiency levels. The proposed system was implemented and evaluated using the computer-assisted surgical trainer (CAST). The effects of the force guidance system are presented based on the experimental test results.
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