FURI | Fall 2024

Post Estimation of Soft Arm Using Motor Wire Encoders

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Soft robotics offers enhanced safety, adaptability, and flexibility over traditional rigid manipulators. This research focuses on soft robotic manipulators, which use compliant materials like fabrics to achieve motion through stretching and elongation. Accurately modeling these manipulators is essential for applications in manufacturing, human interaction, and medicine, yet remains challenging due to their nonlinear behavior. By utilizing extensive testing and sensor data, the study aims to predict soft arm motion based on key parameters such as arc length and orientation, advancing the field’s practical applications.

Student researcher

Raj Kodithyala

Engineering (robotics)

Hometown: Portland, Oregon, United States

Graduation date: Spring 2026