Proprioceptive Origami Manipulator
Aida Parvaresh, Arman Goshtasbi, Jonathan Andres Tirado Rosero, Ahmad Rafsanjani
TL;DR
The paper addresses the challenge of achieving proprioception and closed-loop control in tendon-driven continuum origami robots without sacrificing flexibility. It introduces a proprioceptive origami manipulator in which three conductive-thread tendons serve both as actuators and resistive sensors, with resistance changes read through a Wheatstone bridge and mapped to tendon lengths using a polynomial calibration. A Piecewise Constant Curvature (PCC) forward kinematic framework integrates these tendon-length estimates to reconstruct the end-effector pose, and the approach is validated against external motion capture. The design enhancements—including flat facets between folds to boost stiffness—and the embedded sensing enable autonomous, feedback-enabled operation in complex environments, while future work targets inverse kinematics, multi-module expansion, and exteroceptive sensing.
Abstract
Origami offers a versatile framework for designing morphable structures and soft robots by exploiting the geometry of folds. Tubular origami structures can act as continuum manipulators that balance flexibility and strength. However, precise control of such manipulators often requires reliance on vision-based systems that limit their application in complex and cluttered environments. Here, we propose a proprioceptive tendon-driven origami manipulator without compromising its flexibility. Using conductive threads as actuating tendons, we multiplex them with proprioceptive sensing capabilities. The change in the active length of the tendons is reflected in their effective resistance, which can be measured with a simple circuit. We correlated the change in the resistance to the lengths of the tendons. We input this information into a forward kinematic model to reconstruct the manipulator configuration and end-effector position. This platform provides a foundation for the closed-loop control of continuum origami manipulators while preserving their inherent flexibility.
