English

Ori-Sense: origami capacitive sensing for soft robotic applications

Robotics 2026-02-23 v1 Soft Condensed Matter

Abstract

This work introduces Ori-Sense, a compliant capacitive sensor inspired by the inverted Kresling origami pattern. The device translates torsional deformation into measurable capacitance changes, enabling proprioceptive feedback for soft robotic systems. Using dissolvable-core molding, we fabricated a monolithic silicone structure with embedded conductive TPU electrodes, forming an integrated soft capacitor. Mechanical characterization revealed low stiffness and minimal impedance, with torque values below 0.01 N mm for axial displacements between -15 mm and 15 mm, and up to 0.03 N mm at 30 degrees twist under compression. Finite-element simulations confirmed localized stresses along fold lines and validated the measured torque-rotation response. Electrical tests showed consistent capacitance modulation up to 30%, directly correlated with the twist angle, and maximal sensitivity of S_theta ~ 0.0067 pF/deg at 5 mm of axial deformation.

Keywords

Cite

@article{arxiv.2602.18379,
  title  = {Ori-Sense: origami capacitive sensing for soft robotic applications},
  author = {Hugo de Souza Oliveira and Xin Li and Mohsen Jafarpour and Edoardo Milana},
  journal= {arXiv preprint arXiv:2602.18379},
  year   = {2026}
}

Comments

9th IEEE-RAS International Conference on Soft Robotics (RoboSoft 2026)

R2 v1 2026-07-01T10:44:30.348Z