Key result
Shape-adaptive hysteresis compensation reduces peak-to-peak error by ~60% versus no compensation in tendon manipulators.
Why the study?
Existing models for precise tip control of tendon-driven continuum manipulators do not account for proximal shaft shape, affecting tip control in practical settings.
A novel shape-adaptive hysteresis compensation method using motor current improves the tip control accuracy of tendon-driven continuum manipulators such as ICE catheters.
Tendon-driven continuum manipulators (TDCM) are commonly used in minimally invasive surgical systems due to their long, thin, flexible structure that is compliant in narrow or tortuous environments. There exist many researches for precise tip control of the articulating section. However, these models do not account for the proximal shaft shape of TDCM, affecting the tip controls in practical settings. In this paper, we propose a gradient-based shift detection method based on motor current that can easily find the offset of task space models (i.e., hysteresis). We analyze our proposed methods with multiple Intra-cardiac Echocardiography catheters, which are typical commercial example of TDCM. Our results show that the errors from varied proximal shape are considerably reduced, and the accuracy of the tip manipulation is improved when changing external environmental structures.
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Kim et al. (2021) studied Tendon-driven continuum manipulators. Shape-adaptive hysteresis compensation (Compensation+Shift) vs. No compensation and Compensation-Only was evaluated on Peak-to-peak error (PTPE) and root mean squared error (RMSE) in tip control. The proposed shape-adaptive hysteresis compensation method improved peak-to-peak error by 60% to 65% and root mean squared error by 69% to 79% compared to no compensation in tendon manipulators.
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