The research area of ​​the respective article focuses on the validation of the piecewise constant curvature (PCC) model, which determines the position and orientation of the endpoint of a one-segment fluidic continuum arm relative to its base. The segment is formed by three fluidic muscles arranged in a circle, ensuring the investigated system’s movement, deformation, and curvature. The proposed combinations of pressures in the fluidic muscles ensure the achievement of the required position and bending of the investigated system. Experimental data for the validation of the PCC model were obtained based on the measurements. During the measurements, an excitation signal is designed for the movement of the segment, which represents the alternation of individual combinations of pressures after certain time intervals. During the measurements, after the segment has stabilized in the relevant position, the lengths of the fluidic muscles are measured. Individual values ​​of the location and orientation of the endpoint are measured based on the tracker used. When validating the PCC model, the measured and calculated values ​​are subsequently compared, while the minimum and maximum difference between the respective values ​​is determined. Mean absolute error (MAE) and root mean square error (RMSE) are used as statistical indicators of the performance of the created model, which represent standard metrics used in model evaluation.

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PCC-Based Forward Kinematics of One-Segment Fluidic Continuum Arm with Granular Jamming

  • Tomáš Čakurda,
  • Pavlo Pomin,
  • Monika Trojanová,
  • Alexander Hošovský

摘要

The research area of ​​the respective article focuses on the validation of the piecewise constant curvature (PCC) model, which determines the position and orientation of the endpoint of a one-segment fluidic continuum arm relative to its base. The segment is formed by three fluidic muscles arranged in a circle, ensuring the investigated system’s movement, deformation, and curvature. The proposed combinations of pressures in the fluidic muscles ensure the achievement of the required position and bending of the investigated system. Experimental data for the validation of the PCC model were obtained based on the measurements. During the measurements, an excitation signal is designed for the movement of the segment, which represents the alternation of individual combinations of pressures after certain time intervals. During the measurements, after the segment has stabilized in the relevant position, the lengths of the fluidic muscles are measured. Individual values ​​of the location and orientation of the endpoint are measured based on the tracker used. When validating the PCC model, the measured and calculated values ​​are subsequently compared, while the minimum and maximum difference between the respective values ​​is determined. Mean absolute error (MAE) and root mean square error (RMSE) are used as statistical indicators of the performance of the created model, which represent standard metrics used in model evaluation.