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Junhwi Cho

5 accepted papers

2026

EIT–Pneumatic Hybrid Robotic Skin for Practical and Accurate Force Map Reconstruction

ICRA 2026poster

We present a hybrid robotic skin that combines electrical impedance tomography (EIT) with pneumatic tactile sensing to improve force reconstruction capability. The developed robotic skin is fabricated entirely by 3D printing and spray coating, making it affordable and easy to build. A Tikhonov-regul…

2025

Spatial Sensitivity Equalization of ERT-Based Robotic Skin Through Gauge Factor Distribution Optimization

ICRA 2025

Electrical Resistance Tomography (ERT) has emerged as a promising technology for large-area robotic skin due to its ability to reconstruct pressure distribution over extensive regions using a few sparsely distributed electrodes. Despite ERT's potential to reconstruct the external forces applied on 3

Cited by 0SourceScholar
2023

Touch Classification on Robotic Skin using Multimodal Tactile Sensing Modules

ICRA 2023poster

Human employs different touch patterns to convey diverse social messages; for example, a stroke is an encouragement, whereas a hit is an offense. Various tactile sensors have been developed to grant an intuitive physical interaction with a robotic system, yet many encountered limitations in achievin…

Cited by 3SourceScholar
2021

A Soft Somesthetic Robotic Finger Based on Conductive Working Liquid and an Origami Structure

IROS 2021poster

The tactile and proprioceptive sensation increases human manipulability, and soft tissue compliance stabilizes the grasping function. However, it is challenging to transpose this system to the small confined space of soft robotic fingers due to the material properties and complex wiring entailed. Fu…

Cited by 1SourceScholar
2020

Sim-To-Real Transfer Learning Approach for Tracking Multi-DOF Ankle Motions Using Soft Strain Sensors

RA-L 2020

A data-driven approach has recently been investigated for identifying human joint angles by means of soft strain sensors because of the corresponding modeling difficulty. However, this approach commonly incurs a high computational burden due to the voluminous amount of data required and the time-ser

Cited by 21SourceScholar