Publication

Probabilistic kinematic model of a robotic catheter for 3D position control

Bingbin Yu, José de Gea Fernández, Tao Tan

In: Soft Robotics 6 2 Pages 184-194 Marie Ann Liebert Inc. publishers USA 4/2019.

Abstract

Continuum robots offer compliant and dexterous operations, which are suitable to be used in unstructured environments. Tendon-driven catheters, owing to their continuum structure, are applied in minimal invasive surgeries such as intracardiac interventions. However, due to the intrinsic nonlinearities and external disturbances, it is still a challenging task to accurately steer the catheter tip to the desired 3D positions. In this paper, we proposed a new probabilistic kinematic model and a model-based three-dimensional position control scheme for a tendon-driven cardiac catheter. A dynamic Gaussian-based probabilistic model is developed to learn a mapping from the catheter states to the control actions. Based on the probabilistic model, a closed-loop position control is developed, in which the catheter is driven by a new designed catheter driver system and tracked by a multiple near-infrared cameras system. The proposed catheter framework is evaluated by the 3D trajectory tracking experiments both in a real 3D open space and in a minimum-energy based simulator. The proposed control framework approximates the general kinematic by a combination of a catheter translation model and a distal workspace model, which provide the ability of automatically positioning the catheter tip in 3D and improving the accuracy by compensating the learned nonlinear effects.

Weitere Links

SORO-2018-0074_Yu_preprint.pdf (pdf, 5 MB)

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz