Papers

11

Total Citations

381

H-Index

8

About

Junwon Jang is a multidisciplinary robotics researcher whose work spans wearable exoskeleton systems, autonomous chemical synthesis, and intelligent control strategies. He is perhaps best known for his pioneering contributions to robotic hip exoskeletons, where his development of delayed output feedback control — a elegant, estimator-free approach to gait assistance — has garnered significant attention, accumulating over 114 citations since its 2019 publication. His complementary work demonstrating that wearable hip-assist robots meaningfully reduce cardiopulmonary metabolic expenditure during stair ascent in elderly adults underscores his commitment to translating engineering innovation into real-world clinical benefit. Jang's event-driven and intent-detection control frameworks for exoskeletons, utilizing inertial measurement units to adaptively respond to individual gait patterns, reflect a sophisticated understanding of human-robot interaction. More recently, he has made a striking pivot toward AI-driven laboratory automation, with his 2023 paper on an autonomous robotic chemist for organic molecule synthesis earning 91 citations in just two years — signaling his capacity to lead at the frontier of emerging fields. His 2025 work on bioinspired soft grippers further demonstrates a researcher continually expanding disciplinary boundaries, making Jang a compelling figure at the intersection of robotics, biomechanics, and intelligent automation.

Research Focus

Key Achievements

8
H-Index
11
Papers
381
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Delayed Output Feedback Control for Gait Assistance With a Robotic Hip Exoskeleton
114 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 51
🏛 Institutions: Samsung (South Korea), Seoul National University, Korea National University of Transportation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago