Next-generation Teleoperated Semi-Autonomous Interventional Surgical Robots: soft robots, soft sensors, nonlinear modeling, and learning-based control

下一代遥控半自主介入手术机器人：软机器人、软传感器、非线性建模和基于学习的控制

• 批准号: RGPIN-2022-04663
• 负责人: Dargahi, Javad
• 金额: $ 1.97万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760510
• 关键词: Next; generation; Teleoperated; Semi; Autonomous

The current generation of surgical robots, i.e., first-generation, have articulated arms that are connected to long thin rigid instruments. These instruments are inserted to the patient's body through small incisions on the skin. On of the problems with the rigid instruments is that they each require a dedicated incision on the skin and their motion is independent from each other. While for a delicate surgery, e.g., on heart, choreographic motion among the arms is required. Moreover, for a robotic surgery 3 - 4 articulated arms are required which imposes a large lump of capital investment ($3-5 M) to the healthcare system for having one surgical robot running. Currently, surgeon sits at a control console (similar to a cockpit) and manipulates joysticks while the robotic arms precisely replicate the surgeon's motions inside the patient's body. Now, the robots merely follow the commands coming from the surgeons thus should, for example, a communication disruption occurs, the robot stays idle until the next commands arrive through the communication channel. Therefore, the current technology may fall short of clinical requirement for telesurgery. This research is a step toward developing next-generation surgical robots that are soft and semi-autonomous. More specifically, this proposal has four main objectives: 1) developing soft tactile sensors that help in understanding of the shape, pose, force, and interaction of the robotic instruments inside the patient's body, 2) developing soft surgical robots for bronchoscopy and cardiac endovascular surgery that are small and 2-3 of those can be packed into a small-diameter catheter to perform surgery inside the patient's trachea or heart, 3) developing tool-tissue models that assist in understanding the state of interaction between the soft surgical robots and patient's body, and 4) to develop artificial intelligence (AI-) based control methods to add a layer of self-awareness and semi-autonomy to the soft robots to assist the surgeons in rapid and precise performance of his surgical tasks and to eliminate the risk of idling while the communication is disrupted. The outputs of this research will contribute to the advancement of surgical robotics knowledge in Canada putting Canadian researchers at the forefront of benefiting from state-of-the-art next-generation surgical robots, conception of intellectual property within the Canadian territory that can be further commercialized domestically or across the border with the US/EU partners. Moreover, the semi-autonomous surgical robots proposed here will enable the early-career surgeons to adopt tele-operated surgeries with the embedded assistance from the robot controller. This will eventually contribute to increasing the access to the state-of-the-art treatments in the rural Canada and suburban communities. It is also a step forward toward benefiting from the power of AI in medicine for which Canada shall maintain its global leadership in the world.

当前一代的手术机器人，即，第一代，具有连接到细长刚性器械的铰接臂。这些器械通过皮肤上的小切口插入患者体内。刚性器械的一个问题是它们各自需要在皮肤上的专用切口，并且它们的运动彼此独立。而对于精细的手术，例如，在心脏上，需要手臂之间的舞蹈动作。此外，对于机器人手术，需要3 - 4个铰接臂，这对医疗保健系统强加了大量的资本投资（300万至500万美元）以使一个手术机器人运行。目前，外科医生坐在一个控制台（类似于驾驶舱），操纵操纵杆，而机器人手臂精确地复制外科医生在病人体内的动作。现在，机器人仅遵循来自外科医生的命令，因此，例如，如果发生通信中断，机器人保持空闲，直到下一个命令通过通信信道到达。因此，目前的技术可能达不到外科手术的临床要求。这项研究是朝着开发下一代柔软和半自主的手术机器人迈出的一步。更具体地说，这项建议有四个主要目标：1）开发有助于理解患者体内机器人器械的形状、姿势、力和相互作用的软触觉传感器，2）开发用于支气管镜检查和心脏血管内手术的小型软手术机器人，其中2-3个可以装在一个小的-3）开发工具-组织模型，其有助于理解软手术机器人与患者身体之间的相互作用状态，以及4）开发基于人工智能（AI）的控制方法，以向软机器人添加一层自我意识和半自主性，以帮助外科医生快速和精确地执行其手术任务，并消除在通信中断时空转的风险。这项研究的成果将有助于提高加拿大的手术机器人知识，使加拿大研究人员处于受益于最先进的下一代手术机器人的最前沿，加拿大境内的知识产权概念可以在国内或与美国/欧盟合作伙伴跨境进一步商业化。此外，这里提出的半自主手术机器人将使早期的职业外科医生采用远程操作的手术与嵌入式辅助机器人控制器。这最终将有助于增加加拿大农村和郊区社区获得最先进治疗的机会。这也是朝着受益于人工智能在医学领域的力量迈出的一步，加拿大将保持其在世界上的全球领导地位。