Abidi Haider, Gerboni Giada, Brancadoro Margherita, Fras Jan, Diodato Alessandro, Cianchetti Matteo, Wurdemann Helge, Althoefer Kaspar, Menciassi Arianna
Biorobotics Institute, Scuola Superiore Sant'Anna, Pontedera, PI, Italy.
Stanford University, Center for Design Research (CDR), CA, USA.
Int J Med Robot. 2018 Feb;14(1). doi: 10.1002/rcs.1875. Epub 2017 Dec 5.
For some surgical interventions, like the Total Mesorectal Excision (TME), traditional laparoscopes lack the flexibility to safely maneuver and reach difficult surgical targets. This paper answers this need through designing, fabricating and modelling a highly dexterous 2-module soft robot for minimally invasive surgery (MIS).
A soft robotic approach is proposed that uses flexible fluidic actuators (FFAs) allowing highly dexterous and inherently safe navigation. Dexterity is provided by an optimized design of fluid chambers within the robot modules. Safe physical interaction is ensured by fabricating the entire structure by soft and compliant elastomers, resulting in a squeezable 2-module robot. An inner free lumen/chamber along the central axis serves as a guide of flexible endoscopic tools. A constant curvature based inverse kinematics model is also proposed, providing insight into the robot capabilities.
Experimental tests in a surgical scenario using a cadaver model are reported, demonstrating the robot advantages over standard systems in a realistic MIS environment.
Simulations and experiments show the efficacy of the proposed soft robot.
对于某些外科手术,如全直肠系膜切除术(TME),传统腹腔镜缺乏安全操作和到达困难手术靶点的灵活性。本文通过设计、制造和建模一种用于微创手术(MIS)的高度灵巧的双模块软机器人来满足这一需求。
提出了一种软机器人方法,该方法使用柔性流体致动器(FFA),实现高度灵巧且本质安全的导航。通过对机器人模块内流体腔室的优化设计来提供灵活性。通过用柔软且柔顺的弹性体制造整个结构来确保安全的物理交互,从而得到一个可挤压的双模块机器人。沿中心轴的内部自由管腔/腔室用作柔性内窥镜工具的引导。还提出了一种基于恒定曲率的逆运动学模型,以深入了解机器人的能力。
报告了在使用尸体模型的手术场景中的实验测试,证明了该机器人在现实的微创手术环境中相对于标准系统的优势。
模拟和实验表明了所提出的软机器人的有效性。