journal article·2020-05-26Open access

Motion Control and External Force Estimation of a Pneumatically Driven Multi-DOF Robotic Forceps

Dongbo Zhou, Kotaro Tadano, Daisuke Haraguchi

Applied Sciences· Volume 10· Issue 11

Abstract

Robotic forceps with a rigid-link joint mechanism is orthodox for current robotic-assisted surgery systems. However, external force estimation without force sensors during operations is difficult for such electrically driven forceps. This work introduces a pneumatically driven multi-DOF (DOF: degree of freedom) forceps using a rigid-link mechanism with less interference of the wire drive between joints and realizes external force estimation by utilizing high back-drivability of pneumatic cylinders. We developed a position controller with dynamic compensation of the mechanical friction, in which the rotational angles of the three movable joints of the forceps are independently controlled. Moreover, we designed an external force observer in the position controller by applying the disturbance observer scheme. The results of the performance evaluation experiments are as follows. First, in the joint position control experiments, smooth and stable controllability is confirmed for sinusoidal reference inputs with the mean absolute errors of less than 2°. The resolution of the joint position control is approximately 1° for the response of step increasing reference inputs, which is acceptable for laparoscopic surgery. Second, the external force observer can correctly estimate the translational and the grasping forces with less than 20% errors of the maximum output forces. The practical sensitivities of the external force estimation are better than 0.5 N for translational forces and 0.2 N for grasping forces. The achieved performance of the developed forceps can be applicable for interactive force control in some particular surgical tasks such as suturing, ligation, organ traction and exclusion.
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Research context

OpenAlex topics: Soft Robotics and Applications · Teleoperation and Haptic Systems · Surgical Simulation and Training

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Innovation Research, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Yokohama, Kanagawa 226-8502, Japan

Department of Mechanical Engineering, Tokyo National College of Technology, 1220-1, Kunugida-machi, Hachioji, Tokyo 193-0997, Japan

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