A dynamic non-energy-storing guidance constraint with motion redirection for robot-assisted surgery

Nima Enayati, Eva C. Alves Costa, G. Ferrigno, E. Momi
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引用次数: 8

Abstract

Haptically enabled hands-on or tele-operated surgical robotic systems provide a unique opportunity to integrate pre- and intra-operative information into physical actions through active constraints (also known as virtual fixtures). In many surgical procedures, including cardiac interventions, where physiological motion complicates tissue manipulation, dynamic active constraints can improve the performance of the intervention in terms of safety and accuracy. The non-energy-storing class of dynamic guidance constraints attempt to assist the clinician in following a reference path, while guaranteeing that the control system will not generate undesired motion due to stored potential energy. An important aspect that has not received much attention from the researchers is that while these methods help increase the performance, they should by no means distract the user systematically. In this paper, a viscosity-based dynamic guidance constraint is introduced that continuously redirects the tool's motion towards the reference path. The proportionality and continuity of generated forces make the method less distracting and subjectively appealing. The performance is validated and compared with two existing non-energy-storing methods through extensive experimentation.
基于运动重定向的机器人辅助手术动态非储能制导约束
触觉操作或远程操作的外科机器人系统提供了一个独特的机会,通过主动约束(也称为虚拟固定装置)将术前和术中信息集成到物理动作中。在许多外科手术中,包括心脏介入手术,其中生理运动使组织操作复杂化,动态主动约束可以在安全性和准确性方面提高干预的性能。非储能类的动态引导约束试图帮助临床医生遵循参考路径,同时保证控制系统不会由于存储的势能而产生不希望的运动。研究人员没有注意到的一个重要方面是,虽然这些方法有助于提高性能,但它们绝不应该系统地分散用户的注意力。本文引入了一种基于粘度的动态导向约束,该约束可以不断地将刀具的运动重定向到参考路径上。产生的力量的比例性和连续性使这种方法不那么分散注意力,在主观上很有吸引力。通过大量的实验,验证了该方法的性能,并与现有的两种非储能方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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