Remote Human-robot Collaborative Impedance Control Strategy of Pharyngeal Swab Sampling Robot

Yinglong Chen, Fu-Jun Song, Yongjun Gong
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引用次数: 6

Abstract

Pharyngeal swab sampling, as an essential link in the detection of COVID-19, is characterized by the large task volume and susceptibility to infection. Therefore, it is necessary to use medical robots for remote sampling instead of in-situ sampling. However, on one hand, due to the influence of network delay, it is difficult to guarantee the closed-loop performance manipulated remotely by medical practitioners. On the other hand, the sampling process controlled by the robot independently is not always successful due to the inaccuracy of the planned trajectory caused by the sensors or the moment of the patients. To solve the problems discussed above, this paper proposed a remote human-robot collaborative strategy based on impedance control method, which can integrate the experience of medical practitioners into the automatic sampling process. During the sampling process, when the inaccurate scanning trajectory is detected, the medical practitioners can correct the planned trajectory on line according to the sensor information and the reaction of the patients. Then, the cooperative robot tracks the adjusted planned-trajectory based on the impedance control method and ensure that the contact force of sampling is maintained within a reasonable range. The simulation results show that the proposed human-robot collaborative strategy is effective taking the advantages of both medical practitioners and robots which can deal with the trajectory tracking problem caused by the inaccurate sampling of patients.
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咽拭子采样机器人的远程人机协同阻抗控制策略
咽拭子取样作为COVID-19检测的重要环节,具有任务量大、易感等特点。因此,有必要使用医疗机器人进行远程采样,而不是现场采样。然而,一方面,由于网络延迟的影响,难以保证医生远程操纵的闭环性能。另一方面,机器人独立控制的采样过程并不总是成功的,这是由于传感器或患者的瞬间造成的计划轨迹的不准确性。针对上述问题,本文提出了一种基于阻抗控制方法的远程人机协作策略,该策略可以将医生的经验融入到自动采样过程中。在采样过程中,当检测到不准确的扫描轨迹时,医生可以根据传感器信息和患者的反应在线纠正计划的轨迹。然后,协作机器人基于阻抗控制方法对调整后的计划轨迹进行跟踪,保证采样接触力保持在合理范围内。仿真结果表明,所提出的人机协作策略能够有效地利用医生和机器人的优势,解决因患者采样不准确而导致的轨迹跟踪问题。
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