Key result
Dynamic Cosserat rod-based model accurately predicts hybrid-actuated soft robot motion with low error.
Why the study?
Precise position control and accurate modeling of soft robots are crucial challenges in developing systems for robot-assisted cardiac ablation.
A dynamic Cosserat rod-based model accurately predicts the motion of a hybrid-actuated soft robot designed for cardiac ablation.
Supports preclinical soft robot development for ablation; leaves open clinical translation from animal models.
Soft robotics has emerged as a promising field due to the unique characteristics offered by compliant and flexible structures. Overcoming the challenge of precise position control is crucial in the development of such systems that require accurate modeling of soft robots. In response, a hybrid-actuated soft robot employing both air pressure and tendons was proposed, modeled, and validated using the dynamic Cosserat rod theory. This approach comprehensively addresses various aspects of deformation, including bending, torsion, shear, and extension. The designed robot was intended for robot-assisted cardiac ablation, a minimally invasive procedure that is used to treat cardiac arrhythmias. Within the framework of the Cosserat model, dynamic equations were discretized over time, and ordinary differential equations (ODEs) were solved at each time step. These equations of motion facilitated the prediction of the robot’s response to different control inputs, such as the air pressure and tension applied to the tendons. Experimental studies were conducted on a physical prototype to examine the accuracy of the model. The experiments covered a tension range of 0 to 3 N for each tendon and an air pressure range of 0 to 40 kPa for the central chamber. The results confirmed the accuracy of the model, demonstrating that the dynamic equations successfully predicted the robot’s motion in response to diverse control inputs.
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Roshanfar et al. (2023) studied Cardiac arrhythmias (intended application). Hybrid-actuated soft robot (air pressure and tendons) was evaluated on Model accuracy (Mean Absolute Error of tip position). The dynamic Cosserat rod-based model successfully predicted the hybrid-actuated soft robot's motion in response to diverse control inputs, demonstrating low relative Mean Absolute Error.
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