HybGrip: a synergistic hybrid gripper for enhanced robotic surgical instrument grasping.

IF 2.3 3区 医学 Q3 ENGINEERING, BIOMEDICAL International Journal of Computer Assisted Radiology and Surgery Pub Date : 2024-12-01 Epub Date: 2024-08-21 DOI:10.1007/s11548-024-03245-5
Jorge Badilla-Solórzano, Sontje Ihler, Thomas Seel
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Abstract

Purpose: A fundamental task of a robotic scrub nurse is handling surgical instruments. Thus, a gripper capable of consistently grasping a wide variety of tools is essential. We introduce a novel gripper that combines granular jamming and pinching technologies to achieve a synergistic improvement in surgical instrument grasping.

Methods: A reliable hybrid gripper is constructed by integrating a pinching mechanism and a standard granular jamming gripper, achieving enhanced granular interlocking. For our experiments, our prototype is affixed to the end-effector of a collaborative robot. A novel grasping strategy is proposed and utilized to evaluate the robustness and performance of our prototype on 18 different surgical tools with diverse geometries.

Results: It is demonstrated that the integration of the pinching mechanism significantly enhances grasping performance compared with standard granular jamming grippers, with a success rate above 98%. It is shown that with the combined use of our gripper with an underlying grid, i.e., a complementary device placed beneath the instruments, robustness and performance are further enhanced.

Conclusion: Our prototype's performance in surgical instrument grasping stands on par with, if not surpasses, that of comparable contemporary studies, ensuring its competitiveness. Our gripper proves to be robust, cost-effective, and simple, requiring no instrument-specific grasping strategies. Future research will focus on addressing the sterilizability of our prototype and assessing the viability of the introduced grid for intra-operative use.

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HybGrip:用于增强机器人手术器械抓取的协同混合抓手。
目的:机器人擦洗护士的一项基本任务是处理手术器械。因此,能够持续抓取各种工具的机械手至关重要。我们介绍了一种新型机械手,它结合了颗粒干扰和捏合技术,能够协同改善手术器械的抓取能力:方法:通过整合捏合机制和标准颗粒干扰夹持器,构建了一种可靠的混合夹持器,实现了更强的颗粒互锁。在实验中,我们将原型固定在协作机器人的末端执行器上。我们提出了一种新颖的抓取策略,并利用这种策略评估了我们的原型在 18 种不同几何形状的手术工具上的稳健性和性能:结果表明,与标准的颗粒状干扰抓手相比,夹持机制的集成大大提高了抓取性能,成功率超过 98%。结果表明,将我们的机械手与底层网格(即放置在器械下方的辅助装置)结合使用,可进一步提高稳健性和性能:结论:我们的原型机在手术器械抓取方面的性能与当代同类研究不相上下,甚至有过之而无不及,这确保了它的竞争力。事实证明,我们的机械手坚固耐用、经济高效、操作简单,不需要特定的器械抓取策略。未来的研究重点是解决我们原型的消毒问题,并评估引入的网格在术中使用的可行性。
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来源期刊
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery ENGINEERING, BIOMEDICAL-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
5.90
自引率
6.70%
发文量
243
审稿时长
6-12 weeks
期刊介绍: The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.
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