Jumyung Um

Assistant professor

Kyungpook National University

South Korea

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About

Jumyung Um is an Assistant Professor at Kyung Hee University in South Korea. His research areas include intelligent robotics, digital twins, augmented reality, and machine learning applications in manufacturing and mental health. Recent publications highlight advancements in robot grippers, collaborative robotics, and the integration of AI in manufacturing processes.

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2020

Collaborators (2)

Seung-Jun Shin

Associate Professor

Hanyang University

SOUTH KOREA

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Ji Hyun Baek

Sungkyunkwan University School of Medicine

SOUTH KOREA

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Jumyung Um

Research Interests

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Articles (19)

Machine Learning Models to Identify Individuals With Imminent Suicide Risk Using a Wearable Device: A Pilot Study

Intelligent robot gripper using embedded AI sensor for box re-sequencing system integrated with spatial layout optimization

Multi-dimensional digital twin for cable assembly by synthetic data and reinforcement learning

On-demand bi-directional augmented reality for adaptable instructions of machine tools operations

Reconfigurable machine tending with collaborative robots: leveraging ISO 21919 for enhancing flexibility and safety

A Blockchain-Based Digital Product Passport System Providing a Federated Learning Environment for Collaboration Between Recycling Centers and Manufacturers to Enable Recycling Automation

Smart Cognitive HMI With Automated Knowledge Extraction for Machine Tool

Digital twin for autonomous collaborative robot by using synthetic data and reinforcement learning

Deploying data analytics models in asset administration shells: Energy prediction in manufacturing

Convolutional LSTM based melt-pool prediction from images of laser tool path strategy in laser powder bed fusion for additive manufacturing

Development of a Customized Blockchain Technology-Based Parameter Matching Protocol for Semiconductor Manufacturing

BoxStacker: Deep Reinforcement Learning for 3D Bin Packing Problem in Virtual Environment of Logistics Systems

Development of Digital twin for Plug-and-Produce of a Machine tending system through ISO 21919 interface

A Deep-Learning Approach for Identifying a Drunk Person Using Gait Recognition

A One-Stage Ensemble Framework Based on Convolutional Autoencoder for Remaining Useful Life Estimation

Operation-Driven Power Analysis of Discrete Process in a Cyber-Physical System Based on a Modularized Factory

Squashed-Slice Algorithm Based on STEP-NC for Multi-Material and Multi-Directional Additive Processes

GadgetArm—Automatic Grasp Generation and Manipulation of 4-DOF Robot Arm for Arbitrary Objects Through Reinforcement Learning

The architecture development of Industry 4.0 compliant smart machine tool system (SMTS)

Collaborators (2)

Seung-Jun Shin

Ji Hyun Baek

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