YongKuk Kim

Dr. YongKuk Kim

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 May 2025 in Journal of Korea Robotics Society
Verified
Journal Article
Closed access
Heeyoon YoonHeeyoon Yoon
Heeyoon Yoon
HLHanna Lee
Hanna Lee
YKYongKuk Kim
YongKuk Kim
MKMin-Gyu Kim
Min-Gyu Kim
Jin-Ho SuhJin-Ho Suh
Jin-Ho Suh

29 August 2025 in Journal of Korea Robotics Society
Verified
Journal Article
Closed access
DHDokyung Hwang
Dokyung Hwang
YKYongKuk Kim
YongKuk Kim
YLYe Jun Lee
Ye Jun Lee
MKMin-Gyu Kim
Min-Gyu Kim
EJEui-Jung Jung
Eui-Jung Jung

21 January 2026 in Electronics
Verified
Journal Article
Open access
PDF file
YKYongKuk Kim
YongKuk Kim
DKDa-Young Kim
Da-Young Kim
DHDokyung Hwang
Dokyung Hwang
JKJuhyun Kim
Juhyun Kim
EJEui-Jung Jung
Eui-Jung Jung
MKMin-Gyu Kim
Min-Gyu Kim
Workers with upper-limb disabilities face difficulties in performing manufacturing tasks requiring fine manipulation, stable handling, and multistep procedural understanding. To address these limitations, this paper presents an integrated collaborative workcell designed to support disability-inclusive manufacturing. The system comprises four core modules: a JSON-based collaboration database that structures manufacturing processes into robot–human cooperative units; a projection-based augmented reality (AR) interface that provides spatially aligned task guidance and virtual interaction elements; a multimodal interaction channel combining gesture tracking with speech and language-based communication; and a personalization mechanism that enables users to adjust robot behaviors—such as delivery poses and user-driven task role switching—which are then stored for future operations. The system is implemented using ROS-style modular nodes with an external WPF-based projection module and evaluated through scenario-based experiments involving workers with upper-limb impairments. The experimental scenarios illustrate that the proposed workcell is capable of supporting step transitions, part handover, contextual feedback, and user-preference adaptation within a unified system framework, suggesting its feasibility as an integrated foundation for disability-inclusive human–robot collaboration in manufacturing environments.