Teleoperation in Robot-assisted MIS with Adaptive RCM via Admittance Control
Ehsan Nasiri, Srikarran Sowrirajan, Long Wang
TL;DR
This work addresses robot-assisted MIS where the remote center of motion (RCM) constraint is dynamic due to patient motion. It introduces a teleoperation framework that combines adaptive admittance control with a redundancy-resolution strategy to maintain RCM while enabling full 6-DoF telemanipulation of a 7-DoF manipulator and a 4-DoF instrument. An open-source Instrument Module (IM) with an F/T sensor and a 4-DoF cable-driven instrument, integrated via ROS2 and micro-ROS, enables compact, repeatable deployment. Experimental validation across pick-and-place, thread passing, and trajectory-tracking tasks demonstrates robust performance under moving RCM constraints, highlighting potential improvements in MIS setup time and precision.
Abstract
This paper presents the development and assessment of a teleoperation framework for robot-assisted minimally invasive surgery (MIS). The framework leverages our novel integration of an adaptive remote center of motion (RCM) using admittance control. This framework operates within a redundancy resolution method specifically designed for the RCM constraint. We introduce a compact, low-cost, and modular custom-designed instrument module (IM) that ensures integration with the manipulator, featuring a force-torque sensor, a surgical instrument, and an actuation unit for driving the surgical instrument. The paper details the complete teleoperation framework, including the telemanipulation trajectory mapping, kinematic modelling, control strategy, and the integrated admittance controller. Finally, the system capability to perform various surgical tasks was demonstrated, including passing a thread through the rings, picking and placing objects, and trajectory tracking.
