Browse by Subject force and tactile sensing

Showing results 1 to 6 of 6

1
Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing

Park, Hyunkyu; Park, Kyungseo; Mo, Sangwoo; Kim, Jung, IEEE TRANSACTIONS ON ROBOTICS, v.37, no.5, pp.1570 - 1583, 2021-10

2
Marker-Embedded Tactile Image Generation via Generative Adversarial Networks

Kim, Won Dong; Yang, Sanghoon; Kim, Woojong; Kim, Jeong-Jung; Kim, Chang-Hyun; Kim, Jung, IEEE ROBOTICS AND AUTOMATION LETTERS, v.8, no.8, pp.4481 - 4488, 2023-08

3
Neural-Gas Network-Based Optimal Design Method for ERT-Based Whole-Body Robotic Skin

Park, Kyungseo; Kim, Jung, IEEE TRANSACTIONS ON ROBOTICS, v.38, no.6, pp.3463 - 3478, 2022-12

4
Single to Multi: Data-Driven High Resolution Calibration Method for Piezoresistive Sensor Array

Kim, Min; Choi, Hyungmin; Cho, Kyu-Jin; Jo, Sungho, IEEE ROBOTICS AND AUTOMATION LETTERS, v.6, no.3, pp.4970 - 4977, 2021-07

5
Use of Deep Learning for Characterization of Microfluidic Soft Sensors

Han, Seunghyun; Kim, Taekyoung; Kim, Dooyoung; Park, Yong-Lae; Jo, Sungho, IEEE ROBOTICS AND AUTOMATION LETTERS, v.3, no.2, pp.873 - 880, 2018-04

6
UVtac: Switchable UV Marker-Based Tactile Sensing Finger for Effective Force Estimation and Object Localization

Kim, Woojong; Kim, Won Dong; Kim, Jeong-Jung; Kim, Chang-Hyun; Kim, Jung, IEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.3, pp.6036 - 6043, 2022-07

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