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“Toward Vision-based High Sampling Interaction Force Estimation with Master Position and Orientation for Teleoperation” accepted to Robotics and Automation Letters(RA-L) with presentation at IROS 2022

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“Toward Vision-based High Sampling Interaction Force Estimation with Master Position and Orientation for Teleoperation” accepted to Robotics and Automation Letters(RA-L) with presentation at IROS 2022 Congratulation Kang-Won Lee!   https://ieeexplore.ieee.org/document/9477054  

Won-Jo Jung & Kyung-Su Kwak, Journal Paper Accepted (Sensors)

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Vision-Based Suture Tensile Force Estimation in Robotic Surgery Won-Jo Jung, Kyung-Soo Kwak, and Soo-Chul Lim Abstract :  Compared to laparoscopy, robotics-assisted minimally invasive surgery has the problem of an absence of force feedback, which is important to prevent a breakage of the suture. To overcome this problem, surgeons infer the suture force from their proprioception… 더 보기 »Won-Jo Jung & Kyung-Su Kwak, Journal Paper Accepted (Sensors)

Dae-Kwan Ko : Journal Paper Accepted (IEEE Transactions on Industrial Informatics)

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Continuous Image Generation from Low-Update-Rate Images and Physical Sensors through a Conditional GAN for Robot Teleoperation Dae-Kwan Ko ; Dong-Han Lee ; Soo-Chul Lim   Abstract: When a robot is teleoperated, its operator control is based on transmitted images. Network limitations and/or a remote distance usually cause delays or interruptions of the image transmission, which… 더 보기 »Dae-Kwan Ko : Journal Paper Accepted (IEEE Transactions on Industrial Informatics)

Journal Paper 게재(IEEE ACCESS) : Sequential Image-based Attention Network for Inferring Force Estimation without Haptic Sensor

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Sequential Image-based Attention Network for Inferring Force Estimation without Haptic Sensor Hochul Shin, Hyeon Cho, Dongyi Kim, Dae-kwan Ko, Soo-Chul Lim*  and  Wonjun Hwang*   Humans can approximately infer the force of interaction between objects using only visual information because we have learned it through experiences. Based on this idea, in this paper, we propose… 더 보기 »Journal Paper 게재(IEEE ACCESS) : Sequential Image-based Attention Network for Inferring Force Estimation without Haptic Sensor

Journal paper 게재(Scientific Reports) : Transparent and Flexible Mayan-Pyramid-based Pressure Sensor using Facile-Transferred Indium tin Oxide for Bimodal Sensor Applications

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Transparent and Flexible Mayan-Pyramid-based Pressure Sensor using Facile-Transferred Indium tin Oxide for Bimodal Sensor Applications Minhyun Jung, Sujaya Kumar Vishwanath, Jihoon Kim, Dae-Kwan Ko, Myung-Jin Park, Soo-Chul Lim* & Sanghun Jeon* Abstract Transparent and conducting flexible electrodes have been successfully developed over the last few decades due to their potential applications in optoelectronics. However, recent… 더 보기 »Journal paper 게재(Scientific Reports) : Transparent and Flexible Mayan-Pyramid-based Pressure Sensor using Facile-Transferred Indium tin Oxide for Bimodal Sensor Applications

Journal paper 게재(Proceedings of the IEEE) : Flexible Multimodal Sensors for Electronic Skin: Principle, Materials, Device, Array Architecture, and Data Acquisition Method

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Flexible Multimodal Sensors for Electronic Skin: Principle, Materials, Device, Array Architecture, and Data Acquisition Method Sanghun Jeon, Soo-Chul Lim, Tran Quang Trung, Minhyun Jung, and Nae-Eung Lee Abstract: Electronic skin (e-skin) is designed to mimic the comprehensive nature of human skin. Various advances in e-skin continue to drive the development of the multimodal tactile sensor technology… 더 보기 »Journal paper 게재(Proceedings of the IEEE) : Flexible Multimodal Sensors for Electronic Skin: Principle, Materials, Device, Array Architecture, and Data Acquisition Method

Journal Paper 게재(Sensors) : An Efficient Three-Dimensional Convolutional Neural Network for Inferring Physical Interaction Force from Video

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An Efficient Three-Dimensional Convolutional Neural Network for Inferring Physical Interaction Force from Video Dongyi Kim, Hyeon Cho, Hochul Shin, Soo-Chul Lim  and Wonjun Hwang ABSTRACT : Interaction forces are traditionally predicted by a contact type haptic sensor. In this paper, we propose a novel and practical method for inferring the interaction forces between two objects… 더 보기 »Journal Paper 게재(Sensors) : An Efficient Three-Dimensional Convolutional Neural Network for Inferring Physical Interaction Force from Video

US patent 등록 “Variable stiffness film, variable stiffness flexible display, and method of manufacturing the variable stiffness film”, US10257929

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Abstract A variable stiffness film, a variable stiffness flexible display, and a manufacturing method thereof may include a lower electrode, a variable fluid, and an upper electrode. A polymer layer may be formed on the lower electrode, and a variable fluid receiving portion is patterned on the polymer layer. A variable stiffness layer is formed… 더 보기 »US patent 등록 “Variable stiffness film, variable stiffness flexible display, and method of manufacturing the variable stiffness film”, US10257929