{"id":34,"date":"2016-06-20T06:05:48","date_gmt":"2016-06-19T21:05:48","guid":{"rendered":"http:\/\/irobot.dgu.edu\/?page_id=34"},"modified":"2026-04-03T08:54:13","modified_gmt":"2026-04-02T23:54:13","slug":"publication","status":"publish","type":"page","link":"http:\/\/irobot.dgu.edu\/wordpress\/publication\/","title":{"rendered":"Publication"},"content":{"rendered":"\n<h2>2026<\/h2>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"nv-iframe-embed\"><iframe loading=\"lazy\" title=\"ThermoAct: Thermal-Aware Vision-Language-Action Modelsfor Robotic Perception and Decision-Making\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/lFZC3nIPNDs?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Young-Chae Son, Dae Kwan Ko, Yoon Ji Choi and <strong>Soo-Chul Lim<\/strong>*,  \u201cThermoAct: Thermal-Aware Vision-Language-Action Models for Robotic Perception and Decision-Making\u201d, <em>IEEE Robotics and Automation Letters<\/em>, 2026, Accepted, DOI : <a rel=\"noreferrer noopener\" target=\"_blank\" href=\"https:\/\/doi.org\/10.1109\/LRA.2026.3678130\">10.1109\/LRA.2026.3678130<\/a><\/p>\n\n\n\n<p> <a href=\"https:\/\/imyoungchae.github.io\/ThermoAct\/\" target=\"_blank\" rel=\"noreferrer noopener\">[project page]<\/a>  <\/p>\n<\/div>\n<\/div>\n\n\n\n<h2>2025<\/h2>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-image\"><img src=\"https:\/\/lee-kangwon.github.io\/images\/hppl.avif\" alt=\"HPPL\"\/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Kang-Won Lee, Jung-Woo Lee, Seongyong Kim, and <strong>Soo-Chul Lim<\/strong>,  \u201cProgressive Policy Learning: A Hierarchical Framework for Dexterous Bimanual Manipulation\u201d, <em>Mathematics 2025, 13(22), 3585;<\/em> <a href=\"https:\/\/doi.org\/10.3390\/math13223585\">https:\/\/doi.org\/10.3390\/math13223585<\/a><\/p>\n\n\n\n<p> <a rel=\"noreferrer noopener\" href=\"https:\/\/lee-kangwon.github.io\/HPPL\/\" target=\"_blank\">[project page]<\/a>  <a rel=\"noreferrer noopener\" href=\"https:\/\/www.youtube.com\/watch?v=PXLsaaZMp6w\" target=\"_blank\">video<\/a><br><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"nv-iframe-embed\"><iframe loading=\"lazy\" title=\"Robust Slip Detection using Magnetic Tactile Sensors during Dynamic Robotic Manipulation\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/O4yTPTrbXgQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Kang-il Yoon, Jung-Hwan Yang, and <strong>Soo-Chul Lim<\/strong>,  \u201cRobust Slip Detection using Magnetic Tactile Sensors during Dynamic Robotic Manipulation via Stray Magnetic Fields Compensation\u201d, <em>IEEE Sensors Journal<\/em>, <em>25(19), pp 36215 &#8211; 36229, 2025<\/em>,  DOI : <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1109\/JSEN.2025.3598269\" target=\"_blank\">10.1109\/JSEN.2025.3598269<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"nv-iframe-embed\"><iframe loading=\"lazy\" title=\"Real-to-Sim High-resolution Cloth Modeling: Physical Parameter Optimization using Particle-based Sim\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/Y72-moiScXQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p><meta charset=\"utf-8\">Kang-il Yoon and <strong>Soo-Chul Lim<\/strong>,  \u201cReal-to-Sim High-resolution Cloth Modeling: Physical Parameter Optimization using Particle-based Simulation with Robot Manipulation Data\u201d, <em><meta charset=\"utf-8\">J<em>ournal of Computational Design and Engineering<\/em>, Volume 12, Issue 8, pp 29\u201344, 2025 | DOI: <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1093\/jcde\/qwaf065\" target=\"_blank\">10.1093\/jcde\/qwaf065<\/a><\/em><br>(Designated as Editor\u2019s Choice by JCDE Editorial Board)<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"nv-iframe-embed\"><iframe loading=\"lazy\" title=\"Prediction of Delay Free Scene for Quadruped Robot Teleoperation: Integrating Delayed Data with User\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/wL9UEJnq53s?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Seunghyeon Ha, Seongyong Kim, and <strong>Soo-Chul Lim<\/strong>,  \u201cPrediction of Delay-Free Scene for Quadruped Robot Teleoperation: Integrating Delayed Data with User Commands\u201d, <em>IEEE Robotics and Automation Letters<\/em>, 10(3), pp 2846-2853, 2025 | DOI: <a rel=\"noreferrer noopener\" target=\"_blank\" href=\"https:\/\/doi.org\/10.1109\/LRA.2025.3536222\">10.1109\/LRA.2025.3536222<\/a><\/p>\n\n\n\n<p>  <a rel=\"noreferrer noopener\" href=\"https:\/\/seongdrgn.github.io\/scene-prediction-quadruped\/\" target=\"_blank\">[project page]<\/a>  <\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"674\" src=\"http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2025\/02\/image-1-1024x674.png\" alt=\"\" class=\"wp-image-1101\" srcset=\"http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2025\/02\/image-1-1024x674.png 1024w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2025\/02\/image-1-300x198.png 300w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2025\/02\/image-1-768x506.png 768w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2025\/02\/image-1.png 1224w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Eugene Jeong, Jung-Hwan Yang, and <strong>Soo-Chul Lim<\/strong>,  \u201cDeep Neural Network for Valve Fault Diagnosis Integrating Multivariate Time-Series Sensor Data\u201d, <em>Actuators<\/em>,  <em><meta charset=\"utf-8\"><em>14(2), 70<\/em><\/em>, 2025 <br>DOI : <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.3390\/act14020070\" target=\"_blank\">10.3390\/act14020070<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"nv-iframe-embed\"><iframe loading=\"lazy\" title=\"Estimating Indoor Tile Friction Coefficient Using Visual Information\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/gUXiwDn-Z8w?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p><meta charset=\"utf-8\">Jung\u2010Hwan Yang, Kang-Il Yoon, Seunghyeon Ha, Andy Hong, and <strong>Soo-Chul Lim<\/strong>,  \u201cEstimating Indoor Tile Friction Coefficient Using Visual Information\u201d, J<em>ournal of Computational Design and Engineering<\/em>,  12(1), pp 331-345, 2025 | DOI: <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1093\/jcde\/qwaf003\" target=\"_blank\">10.1093\/jcde\/qwaf003<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<h2>2024<\/h2>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-image\"><img src=\"https:\/\/lee-kangwon.github.io\/images\/driving_scene.avifs\" alt=\"Driving_Scene\"\/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Kang-Won Lee, Dae-Kwan Ko, Yong-Jun Kim, Jee-Hwan Ryu, and <strong>Soo-Chul Lim<\/strong>, \u201cLatency-Free Driving Scene Prediction for On-Road Teledriving With Future-Image-Generation\u201d, <em>IEEE Transactions on Intelligent Transportation Systems<\/em>, 25(11), pp.16676-16686, 2024, DOI : <a rel=\"noreferrer noopener\" target=\"_blank\" href=\"https:\/\/doi.org\/10.1109\/TITS.2024.3435481\">10.1109\/TITS.2024.3435481<\/a><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/lee-kangwon.github.io\/driving_scene\/\" target=\"_blank\">[project page]<\/a> <a rel=\"noreferrer noopener\" href=\"https:\/\/www.youtube.com\/watch?v=mke1Iglp0Dw\" target=\"_blank\">video<\/a><\/p>\n\n\n\n<p><\/p>\n<\/div>\n<\/div>\n\n\n\n<h2>2023<\/h2>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"584\" src=\"http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/fig5-1024x584.jpg\" alt=\"\" class=\"wp-image-925\" srcset=\"http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/fig5-1024x584.jpg 1024w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/fig5-300x171.jpg 300w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/fig5-768x438.jpg 768w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/fig5-1536x876.jpg 1536w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/fig5-2048x1168.jpg 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Kang-Il Yoon, Tae-Soo Jeong, Seung-Chan Kim, and <strong>Soo-Chul Lim<\/strong>,  \u201cAnonymizing At-Home Fitness: Enhancing Privacy and Motivation with Virtual Reality and Try-On\u201d, <em>Frontiers in Public Health<\/em>, Volume 11 &#8211; 2023 | DOI: <a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpubh.2023.1333776\" target=\"_blank\" rel=\"noreferrer noopener\">10.3389\/fpubh.2023.1333776<\/a> <\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"645\" src=\"http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/ijcas___-1024x645.jpg\" alt=\"\" class=\"wp-image-917\" srcset=\"http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/ijcas___-1024x645.jpg 1024w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/ijcas___-300x189.jpg 300w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/ijcas___-768x483.jpg 768w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2023\/12\/ijcas___.jpg 1398w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Dong-Han Lee, Kyung-Soo Kwak and <strong>Soo-Chul Lim<\/strong>,  \u201cA Neural Network-based Suture-tension Estimation Method Using Spatio-temporal Features of Visual Information and Robot-state Information for Robot-assisted Surgery\u201d, <em>International Journal of Control, Automation and Systems<\/em>, 21, pp 4032\u20134040 2023, DOI : <a href=\"https:\/\/doi.org\/10.1007\/s12555-022-0358-3\">10.1007\/s12555-022-<\/a><a href=\"https:\/\/doi.org\/10.1007\/s12555-022-0469-x\" data-type=\"URL\">0469<\/a><a href=\"https:\/\/doi.org\/10.1007\/s12555-022-0358-3\" data-type=\"URL\">&#8211;<\/a><a href=\"https:\/\/doi.org\/10.1007\/s12555-022-0358-3\">x<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"nv-iframe-embed\"><iframe loading=\"lazy\" title=\"Real-Time Video Prediction Based on GAN with Guidance Information in Time-Delayed Teleoperation\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/UgxSEOrBKFo?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Kang-Il Yoon, Dae-Kwan Ko, and <strong>Soo-Chul Lim<\/strong>, \u201cReal-time Video Prediction Using GANs With Guidance Information for Time-delayed Robot Teleoperation\u201d, <em>International Journal of Control, Automation and Systems<\/em>, 21, pp 2387\u20132397 2023, DOI : <a href=\"https:\/\/doi.org\/10.1007\/s12555-022-0358-3\">10.1007\/s12555-022-0358-3<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"nv-iframe-embed\"><iframe loading=\"lazy\" title=\"Effects of Sensing Tactile Arrays, Shear Force, and Proprioception of Robot on Texture Recognition\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/l--EEY5fy4g?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Jung-Hwan Yang, Seong-Yong Kim, and <strong>Soo-Chul Lim<\/strong>, \u201cEffects of sensing tactile arrays, shear force, and proprioception of robot on texture recognition\u201d, <em>Sensors 2023, 23(6)<\/em> 2023, DOI : <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.eswa.2022.118441\" target=\"_blank\"><\/a><a href=\"https:\/\/doi.org\/10.3390\/s23063201\">10.3390\/s23063201<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"679\" height=\"385\" src=\"http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2022\/10\/2023_ESWA___-1.jpg\" alt=\"\" class=\"wp-image-822\" srcset=\"http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2022\/10\/2023_ESWA___-1.jpg 679w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2022\/10\/2023_ESWA___-1-300x170.jpg 300w\" sizes=\"(max-width: 679px) 100vw, 679px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Dae-Kwan Ko, Kang-Won Lee, Dong Han Lee, and <strong>Soo-Chul Lim<\/strong>, \u201cVision-Based Interaction Force Estimation for Robot Grip Motion without Tactile\/Force Sensor\u201d, <em>Expert Systems with Applications<\/em>, Vol 211, 118441, 2023, DOI : <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.eswa.2022.118441\" target=\"_blank\">10.1016\/j.eswa.2022.118441<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<h2>2022<\/h2>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"nv-iframe-embed\"><iframe loading=\"lazy\" title=\"Underwater Touch\" width=\"1200\" height=\"900\" src=\"https:\/\/www.youtube.com\/embed\/yEZryk5qAI8?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Kang-Won Lee, Seung-Chan Kim, and <strong>Soo-Chul Lim,&nbsp;<\/strong>\u201cDeepTouch: Enabling Touch Interaction in Underwater Environments by Learning Touch-induced Inertial Motions&#8221;, <em>IEEE Sensors Journal<\/em>, Vol 22(9), 2022, DOI: <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1109\/JSEN.2022.3163664\" target=\"_blank\">10.1109\/JSEN.2022.3163664<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"431\" src=\"http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2022\/10\/tnsre-1024x431.jpg\" alt=\"\" class=\"wp-image-831\" srcset=\"http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2022\/10\/tnsre-1024x431.jpg 1024w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2022\/10\/tnsre-300x126.jpg 300w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2022\/10\/tnsre-768x323.jpg 768w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2022\/10\/tnsre-1536x647.jpg 1536w, http:\/\/irobot.dgu.edu\/wordpress\/wp-content\/uploads\/2022\/10\/tnsre.jpg 1549w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Kang-Won Lee, Sang-Hoon Kang, and <strong>Soo-Chul Lim,&nbsp;<\/strong>\u201cSimple and Reliable Position Sense Assessment Under Different External Torques: Toward Developing a Post-Stroke Proprioception Evaluation Deviceo&#8221;, <em>IEEE Transactions on Neural Systems and Rehabilitation Engineering<\/em>, Vol 30, 2022, DOI: <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1109\/TNSRE.2022.3161948\" target=\"_blank\">10.1109\/TNSRE.2022.3161948<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<h2>2021<\/h2>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:400px\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"nv-iframe-embed\"><iframe loading=\"lazy\" title=\"Vision based Force Estimation for Human-Robot interaction\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/f_l3sgKr-Eg?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center\">\n<p>Kang-Won Lee, Dae-Kwan Ko, and&nbsp;<strong>Soo-Chul Lim,&nbsp;<\/strong>\u201cToward Vision-based High Sampling Interaction Force Estimation with Master Position and Orientation for Teleoperation\u201d,&nbsp;<em>IEEE Robotics and Automation Letters, Vol 6(4), pp6640-6646<\/em>, DOI: <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1109\/LRA.2021.3094848\" target=\"_blank\">10.1109\/LRA.2021.309484<\/a><a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1109\/TNSRE.2022.3161948\" target=\"_blank\">948<\/a><\/p>\n<\/div>\n<\/div>\n\n\n<p>Won-Jo Jung, Kyung-Soo Kwak, and <strong>Soo-Chul Lim<\/strong>, \u201cVision-Based Suture Tensile Force Estimation in Robotic Surgery\u201d, <em>Sensors<\/em>, 21(1), 110, 2021, <a href=\"https:\/\/doi.org\/10.3390\/s21010110\" target=\"_blank\" rel=\"noopener\">DOI: 10.3390\/s21010110<\/a><\/p>\n<p><\/p>\n<h2><strong>Before 2020<\/strong><\/h2>\n<p>Semin Ryu, Dongbum Pyo, <strong>Soo-Chul Lim<\/strong>*, Dong-Soo Kwon*, Rendering Strategy to Counter Mutual Masking Effect in Multiple Tactile Feedback, <em>Applied Sciences<\/em>, 10 (14), 4990, 2020, DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.3390\/app10144990\">10.3390\/app10144990<\/a><\/p>\n<p>Dae-Kwan Ko, Dong-Han Lee, and <strong>Soo-Chul Lim<\/strong>, &#8220;Continuous Image Generation from Low-Update-Rate Images and Physical Sensors through a Conditional GAN for Robot Teleoperation&#8221;, IEEE Transactions on Industrial Informatics, Vol. 17(3), pp 1978-1986, 2020, &nbsp;DOI<strong>:&nbsp;<\/strong><a href=\"https:\/\/doi.org\/10.1109\/TII.2020.2991764\" target=\"_blank\" rel=\"noopener\">10.1109\/TII.2020.2991764<\/a><\/p>\n<p>Hochul Shin, Hyeon Cho, Dongyi Kim, Dae-kwan Ko, <strong>Soo-Chul Lim*<\/strong>&nbsp;and Wonjun Hwang*, \u201cSequential Image-based Attention Network for Inferring Force Estimation without Haptic Sensor\u201d,&nbsp;<em>IEEE Access, Vol 7, pp150237 &#8211; 150246, <\/em>2019, DOI:<strong>&nbsp;<\/strong><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2019.2947090\" target=\"_blank\" rel=\"noopener\">10.1109\/ACCESS.2019.2947090<\/a><\/p>\n<p>Minhyun Jung, Sujaya Kumar Vishwanath, Jihoon Kim, Dae-Kwan Ko, Myung-Jin Park, <strong>Soo-Chul Lim<\/strong>*&nbsp;and Sanghun Jeon*, \u201cTransparent and Flexible Mayan-Pyramid-based Pressure Sensor using Facile-Transferred Indium tin Oxide for Bimodal Sensor Applications\u201d, Scientific Reports, Volume 9, Article number: 14040, 2019,&nbsp;<abbr title=\"Digital Object Identifier\">DOI :&nbsp;<\/abbr><span class=\"u-clearfix c-bibliographic-information__value\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-019-50247-4\" data-track=\"click\" data-track-action=\"view doi\" data-track-category=\"article body\" data-track-label=\"link\">10.1038\/s41598-019-50247-4<\/a><\/span><\/p>\n<p>Sanghun Jeon, <strong>Soo-Chul Lim<\/strong>, Tran Quang Trung, Minhyun Jung, and Nae-Eung Lee, \u201cFlexible Multimodal Sensors for Electronic Skin: Principle, Materials, Device, Array Architecture, and Data Acquisition Method\u201d, Proceedings of the IEEE, 107(10), pp 2065 \u2013 2083, 2019,&nbsp;DOI:<strong>&nbsp;<\/strong><a href=\"https:\/\/doi.org\/10.1109\/JPROC.2019.2930808\" target=\"_blank\" rel=\"noopener\">10.1109\/JPROC.2019.2930808<\/a><\/p>\n<p>Dongyi Kim, Hyeon Cho, Hochul Shin, <strong>Soo-Chul Lim<\/strong>&nbsp;and Wonjun Hwang, \u201cAn Efficient Three-Dimensional Convolutional Neural Network for Inferring Physical Interaction Force from Video\u201d,&nbsp;<em>Sensors<\/em>, 19(16), 3579, 2019, doi&nbsp;:&nbsp;<a href=\"https:\/\/doi.org\/10.3390\/s19163579\">10.3390\/s19163579<\/a><\/p>\n<p>Asif Khan, Dae-Kwan Ko, <strong>Soo Chul Lim<\/strong>*, Heung Soo Kim*, \u201cStructural vibration-based classification and prediction of delamination in smart composite laminates using deep learning neural network\u201d, Composites Part B: Engineering, Vol 161,&nbsp; 386-594, 2019, doi:<a href=\"https:\/\/doi.org\/10.1016\/j.compositesb.2018.12.118\">10.1016\/j.compositesb.2018.12.118<\/a><\/p>\n<p>Dong-Han Lee,&nbsp; Wonjun Hwang,&nbsp; <strong>Soo-Chul Lim<\/strong>*<strong>,<\/strong>&nbsp;\u201cInteraction Force Estimation using Camera and Electrical Current without Force\/Torque Sensor\u201d.&nbsp;IEEE Sensors Journal,&nbsp;Vol 18, No. 21, pp 8863-8872, 2018, doi:&nbsp;<a href=\"https:\/\/doi.org\/10.1109\/JSEN.2018.2868332\" target=\"_blank\" rel=\"noopener\">10.1109\/JSEN.2018.2868332<\/a><\/p>\n<p>Semin Ryu, Dongbum Pyo, <strong>Soo-Chul Lim<\/strong>, Dong-Soo Kwon. \u201cMechanical Vibration Influences the Perception of Electrovibration\u201d. Scientific Reports, 8(1), 4555, 2018. doi:&nbsp;<a href=\"https:\/\/doi.org\/10.1038\/s41598-018-22865-x\">10.1038\/s41598-018-22865-x.<\/a><\/p>\n<p>Hyundo Choi, Keehong Seo, Seungyong Hyung, Youngbo Shim and <strong>Soo-Chul Lim<\/strong>* \u201cCompact Hip-Force Sensor for a Gait-Assistance Exoskeleton System\u201d ,&nbsp;<em>Sensors<\/em>, 18(2), 566, 2018, doi:&nbsp;<a href=\"https:\/\/dx.doi.org\/10.3390%2Fs18020566\" target=\"pmc_ext\" rel=\"noopener\">10.3390\/s18020566<\/a><\/p>\n<p>Wonjun Hwang, <strong>Soo-Chul Lim<\/strong>*, \u201cInferring Interaction Force from Visual Information without Using Physical Force Sensors\u201d,&nbsp;<em>Sensors<\/em>, 17(11), 2455, 2017,&nbsp;doi:&nbsp;<a href=\"https:\/\/dx.doi.org\/10.3390%2Fs17112455\" target=\"pmc_ext\" rel=\"noopener\">10.3390\/s17112455<\/a><\/p>\n<p>Hyun-Jun Hwang*, <strong>Soo-Chul Lim<\/strong>*, Kyung-Chul Ok, Jin-Seong Park and Hak-Sung Kim (* same contribution), &#8220;Photonic sintering via flash white light combined with deep UV and NIR for SrTiO3 thin film vibration touch panel applications&#8221;, <em>Nanotechnology<\/em>, Volume 27, Number 50, 505209, 2016 (SCI)<\/p>\n<p>Seung-Chan Kim, &nbsp;<strong>Soo-Chul Lim<\/strong>, &nbsp;Jungsoon Shin, &nbsp;Jaehyuk Choi, &#8220;Biometrics for electronic eyes: system authentication with embedded CMOS image sensor&#8221;, <em>IEEE Transactions on Consumer Electronics<\/em>&nbsp;,Volume 62, Issue 3, pp209-215, 2016 (SCI)<\/p>\n<p>Seung-Chan Kim and <strong>Soo-Chul Lim<\/strong>*(corresponding author), \u201cTransferring Data from Smartwatch to Smartphone through Mechanical Wave Propagation\u201d, <em>Sensors<\/em>, 15(9), pp 21394-21406, 2015 (SCIE)<\/p>\n<p><strong>Soo-Chul Lim,<\/strong> Jungsoon Shin, Seung-Chan Kim and Joonah Park, \u201cExpansion of Smartwatch Touch Interface from Touchscreen to Around Device Interface Using Infrared Line Image Sensors\u201d, <em>Sensors<\/em>, 15(7), pp16642-16653, 2015 (SCIE)<\/p>\n<p>Jihyung Yoo, Seokpyo Yun, <strong>Soo-Chul Lim<\/strong>, Joonah Park, Kwang-Seok Yun, Hyung-Kew Lee, \u201cPosition controlled pneumatic tactile display for tangential stimulation of a finger pad\u201d<em>, Sensors and Actuators A: Physical<\/em>, Volume 229, pp 15\u201322, 2015 (SCI)<\/p>\n<p>Seokpyo Yun, Jihyung Yoo, <strong>Soochul Lim<\/strong>, Joonah Park, Hyung-Kew Lee, Kwang-Seok Yun, \u201cThree-axis pneumatic tactile display with integrated capacitive sensors for feedback control\u201d, Microsystem Technologies, Volume 22, Issue 2, pp 275-282, 2016 (SCI)<\/p>\n<p><strong>Soo-Chul Lim<\/strong>, Hyung-Kew Lee, and Joonah Park, \u201cRole of combined tactile and kinesthetic feedback in minimally invasive surgery\u201d, <em>International Journal of Medical Robotics and Computer Assisted Surgery,<\/em> Vol 11, Issue 3, pp 360\u2013374, 2015 (SCIE)<\/p>\n<p><strong>Soo-Chul Lim<\/strong>, Hyung-Kew Lee, and Joonah Park, \u201cGrip force measurement of forceps with fiber Bragg grating sensors\u201d, <em>Electronics Letters<\/em>, vol 50, no 10, pp.733-735, 2014 (SCI)<br>\u203b This paper was selected in the feature section in the front of Electronics Letters (vol 50, no 10) pp 719, 2014, DOI:10.1049\/el.2014.1488<\/p>\n<p><strong>Soo-Chul Lim, <\/strong>Hyung-Kew Lee, EunHyup Doh, Kwang-Seok Yun and Joonah Park, \u201cTactile Display with Tangential and Normal Skin Displacement for Robot-Assisted Surgery,\u201d <em>Advanced Robotics<\/em>, vol 28, Issue 13, pp 859-868, 2014 (SCIE)<\/p>\n<p>S Pyo, J-I Lee, M-O Kim, T Chung, Y Oh, <strong>S-C Lim<\/strong>, J Park and J Kim, \u201cDevelopment of Flexible Three-Axis Tactile Sensor Based on Screen-Printed Carbon Nanotube-Polymer Composite\u201d, <em>Journal of Micromechanics and Microengineering<\/em>, vol 24, no 7, doi:10.1088\/0960-1317\/24\/7\/075012, 2014 (SCI)<\/p>\n<p><strong>Soo-Chul Lim<\/strong>, Ki-Uk Kyung, Dong-Soo Kwon, &#8220;Presentation of Surface Height Profiles Based on Frequency Modulation at Constant Amplitude Using Vibrotactile Elements.&#8221; <em>Advanced Robotics, <\/em>vol 25, Issue 16, pp. 2065-2081, 2011 (SCIE)<\/p>\n<p><strong>Soo-Chul Lim<\/strong>, Ki-Uk Kyung, Dong-Soo Kwon, &#8220;Effect of Frequency Difference on Sensitivity of Beat Perception.&#8221; <em>Experimental Brain Research<\/em>, vol 216, pp. 11-19, 2011 (SCI)<\/p>\n<p>Zeungnam Bien, Myung-Jin Chung, Pyung-Hun Chang, Dong-Soo Kwon, Dae-Jin Kim, Jeong-Su Han, Jae-Hean Kim, Do-Hyung Kim, Hyung-Soon Park, Sang-Hoon Kang, Kyoobin Lee, <strong>Soo-Chul Lim<\/strong> &#8220;Integration of a Rehabilitation Robotic System (KARES II) with Human-Friendly Man-Machine Interaction Units.&#8221; <em>Auton. Robots <\/em><strong>16<\/strong>(2): 165-191, 2004 (SCI)<\/p>","protected":false},"excerpt":{"rendered":"<p>2026 Young-Chae Son, Dae Kwan Ko, Yoon Ji Choi and Soo-Chul Lim*, \u201cThermoAct: Thermal-Aware Vision-Language-Action Models for Robotic Perception and Decision-Making\u201d, IEEE Robotics and Automation Letters, 2026, Accepted, DOI : 10.1109\/LRA.2026.3678130 [project page] 2025 Kang-Won Lee, Jung-Woo Lee, Seongyong Kim, and Soo-Chul Lim, \u201cProgressive Policy Learning: A Hierarchical Framework for Dexterous Bimanual Manipulation\u201d, Mathematics 2025,&hellip;&nbsp;<a href=\"http:\/\/irobot.dgu.edu\/wordpress\/publication\/\" class=\"\" rel=\"bookmark\">\ub354 \ubcf4\uae30 &raquo;<span class=\"screen-reader-text\">Publication<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"left","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":""},"_links":{"self":[{"href":"http:\/\/irobot.dgu.edu\/wordpress\/wp-json\/wp\/v2\/pages\/34"}],"collection":[{"href":"http:\/\/irobot.dgu.edu\/wordpress\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/irobot.dgu.edu\/wordpress\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/irobot.dgu.edu\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/irobot.dgu.edu\/wordpress\/wp-json\/wp\/v2\/comments?post=34"}],"version-history":[{"count":62,"href":"http:\/\/irobot.dgu.edu\/wordpress\/wp-json\/wp\/v2\/pages\/34\/revisions"}],"predecessor-version":[{"id":1327,"href":"http:\/\/irobot.dgu.edu\/wordpress\/wp-json\/wp\/v2\/pages\/34\/revisions\/1327"}],"wp:attachment":[{"href":"http:\/\/irobot.dgu.edu\/wordpress\/wp-json\/wp\/v2\/media?parent=34"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}