IP Library Granted Patent US 12,496,730
Granted Patent B2
US 12,496,730 · App. 18/176,400 · Granted Dec 16, 2025

Biomimetic tactile sensor, robotic skin comprising the same and preparation method therefor

Inventors: Jung Kim (Daejeon, KR); Kyungseo Park (Daejeon, KR); Min Jin Yang (Daejeon, KR); Junhwi Cho (Daejeon, KR)
Assignee: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
B25J13/084B25J19/0075B25J19/02G01L1/18G01L5/228
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,496,730
App. No.
18/176,400
Granted
Dec 16, 2025
Kind
B2
Abstract

Disclosed herein are a biomimetic tactile sensor, a robotic skin including the same, and a preparation method therefor. The biomimetic tactile sensor includes a base layer on which a plurality of electrodes and a plurality of microphones are arranged to be distributed, a hydrogel layer disposed on the base layer, and a stimulus receiving layer disposed on the hydrogel layer, and the biomimetic tactile sensor senses a tactile stimulus accompanied by pressure, vibration, or both.

Claims (27)

1 . A biomimetic tactile sensor comprising:

a base layer on which a plurality of electrodes and a plurality of microphones are distributed;

a hydrogel layer disposed on the base layer covering the plurality of electrodes and the plurality of microphones; and

a stimulus receiving layer disposed on the hydrogel layer,

wherein the biomimetic tactile sensor senses a tactile stimulus accompanied by pressure, vibration, or both via the plurality of electrodes and the plurality of microphones.

2 . The biomimetic tactile sensor as set forth in claim 1 , wherein the hydrogel layer has piezoresistance and acts as a medium for transmitting vibration.

3 . The biomimetic tactile sensor as set forth in claim 1 , wherein the tactile sensor senses a pressure-based tactile stimulus using electrical impedance tomography (EIT).

4 . The biomimetic tactile sensor as set forth in claim 3 , wherein the tactile sensor reconstructs data measured by the electrical impedance tomography (EIT) using an artificial neural network.

5 . The biomimetic tactile sensor as set forth in claim 1 , wherein the tactile sensor senses a vibration-based dynamic tactile stimulus through the microphones using passive acoustic tomography (PAT).

6 . The biomimetic tactile sensor as set forth in claim 5 , wherein the tactile sensor analyzes at least one of an intensity and an arrival time of vibration received by the microphones to determine a position where the vibration occurs.

7 . The biomimetic tactile sensor as set forth in claim 5 , wherein the tactile sensor classifies dynamic tactile stimuli received through the microphones using an artificial neural network.

8 . The biomimetic tactile sensor as set forth in claim 5 , wherein the dynamic tactile stimulus includes tapping, rubbing, sweeping, scratching, and tickling.

9 . The biomimetic tactile sensor as set forth in claim 1 , wherein the stimulus receiving layer is a polymer film having elasticity.

10 . The biomimetic tactile sensor as set forth in claim 9 , wherein the stimulus receiving layer has a large Young's modulus as compared with the hydrogel layer.

11 . The biomimetic tactile sensor as set forth in claim 10 , wherein the stimulus receiving layer is a silicone polymer film.

12 . The biomimetic tactile sensor as set forth in claim 1 , wherein a structure and function of the stimulus receiving layer and the hydrogel layer are recoverable from physical damage.

13 . The biomimetic tactile sensor as set forth in claim 1 , wherein the microphone is a microphone in which a capsule film made of a polymer having elasticity is formed on an upper surface in contact with the hydrogel.

14 . The biomimetic tactile sensor as set forth in claim 13 , wherein the capsule film has an empty space therein.

15 . A preparation method for the the biomimetic tactile sensor as set forth in claim 1 , the preparation method comprising:

arranging a plurality of electrodes and a plurality of microphones to be distributed on a base layer;

forming a hydrogel layer on the base layer; and

forming a stimulus receiving layer on the hydrogel layer.

16 . The preparation method as set forth in claim 15 , wherein the microphone is a microphone in which a capsule film made of a polymer having elasticity is formed on an upper surface in contact with the hydrogel.

17 . The preparation method as set forth in claim 15 , wherein the forming of the hydrogel layer includes:

applying a hydrogel precursor solution on the base layer; and

photocuring the hydrogel precursor solution.

18 . A robotic skin comprising the biomimetic tactile sensor as set forth in claim 1 .

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 28, 2023
From: KIM, JUNG; PARK, KYUNGSEO; YANG, MIN JIN; CHO, JUNHWI
To: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
Reel/Frame 062833/0847 →
Priority Claims (1)
KR 10-2022-0031847 · Mar 15, 2022 · national
Continuity (1)
Related Publication 20230294301A1 · Sep 21, 2023
References Cited (9)
US 10852206B2 · Shimizu · 2020 [cited by examiner]
US 20210219939A1 · Alshareef · 2021 [cited by examiner]
CN 114088256A · 2022 [cited by examiner]
KE 20220017346A · 2022 [cited by examiner]
WO WO2023135753A1 · 2023 [cited by examiner]
WO WO2023135771A1 · 2023 [cited by examiner]
Park, Hyunkyu, et al. “Deep neural network approach in electrical impedance tomography-based real-time soft tactile sensor.” 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2019. (… [cited by examiner]
Boutry et al., “A hierarchically patterned, bioinspired e-skin able to detect the direction of applied pressure for robotics”, Science Robotics, vol. 3, Nov. 21, 2018, pp. 10. [cited by applicant]
Schmitz et al., “Methods and Technologies for the Implementation of Large-Scale Robot Tactile Sensors”, IEEE Transactions on Robotics, Jun. 2011, vol. 27, No. 3, pp. 389-400. [cited by applicant]