论文标题
第一代DA Vinci研究套件的警告:潜在的技术限制和基本校准
Caveats on the first-generation da Vinci Research Kit: latent technical constraints and essential calibrations
论文作者
论文摘要
伸缩机器人系统在操作剧院提供了一种良好的援助形式,近年来有吸收的证据。到目前为止,DA Vinci手术系统(Intuitive Surgical Inc,加利福尼亚州桑尼维尔)一直是此类机器人中最广泛采用的机器人,在全球范围内拥有6,700多个系统[1]。为了加速有关机器人辅助手术的研究,已退休的第一代DA Vinci机器人已被重新部署为研究用作“ DA Vinci Research Kits”(DVRKS),该机器人已分发给了世界各地的研究机构,以支持该行业的培训和研究。在过去的十年中,对DVRK进行了大量研究,在许多研究主题中进行了大量研究。在这个广泛而分布式的过程中,已经确定了埋在DVRK研发架构深处的常见技术问题,并且发现在DVRK用户反馈中很常见,而不论所确定的研究方向的广度和差异。本文收集并分析其中最重要的内容,重点关注第一代DVRK的技术限制,在启动与DVRK相关的研究之前,现有用户和潜在用户都应意识到这一点。希望这项审查将帮助用户迅速识别和解决系统的共同局限性,从而有助于加速该领域的进度。
Telesurgical robotic systems provide a well established form of assistance in the operating theater, with evidence of growing uptake in recent years. Until now, the da Vinci surgical system (Intuitive Surgical Inc, Sunnyvale, California) has been the most widely adopted robot of this kind, with more than 6,700 systems in current clinical use worldwide [1]. To accelerate research on robotic-assisted surgery, the retired first-generation da Vinci robots have been redeployed for research use as "da Vinci Research Kits" (dVRKs), which have been distributed to research institutions around the world to support both training and research in the sector. In the past ten years, a great amount of research on the dVRK has been carried out across a vast range of research topics. During this extensive and distributed process, common technical issues have been identified that are buried deep within the dVRK research and development architecture, and were found to be common among dVRK user feedback, regardless of the breadth and disparity of research directions identified. This paper gathers and analyzes the most significant of these, with a focus on the technical constraints of the first-generation dVRK, which both existing and prospective users should be aware of before embarking onto dVRK-related research. The hope is that this review will aid users in identifying and addressing common limitations of the systems promptly, thus helping to accelerate progress in the field.