Jeon Ho Kang
Papers
7
Total Citations
32
H-Index
4
About
Jeon Ho Kang is a rising researcher at the forefront of intelligent robotic systems, with a primary focus on human-robot collaboration, task allocation, and autonomous manipulation for manufacturing and disassembly. His work addresses critical challenges in scalable automation, particularly for high-mix assembly and the urgent need for effective battery recycling. Kang’s major contributions include developing a novel diffusion policy that integrates vision and force observations for compliant object prying, a key step toward robotic disassembly of complex products. He has also pioneered frameworks for multi-robot task allocation under uncertainty using hindsight optimization, and for leveraging large language models to generate contingency handling procedures in collaborative assembly. His research on safe robot-to-human tool handover and preference-elicited task scheduling directly enhances the practicality and acceptance of human-robot teams. With over 30 citations to his most recent works (2023–2025), Kang’s impact is rapidly growing, and his innovative approaches—such as enabling robots to autonomously dispense granular materials with milligram accuracy—demonstrate a unique blend of theoretical rigor and real-world applicability, positioning him as a key contributor to the future of flexible, resilient manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-Robot Task Allocation Under Uncertainty Via Hindsight Optimization5 citations · 2024
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- 5Safe Robot to Human Tool Handover to Support Effective Collaboration3 citations · 2023
- 6
- 7Preference Elicitation and Incorporation for Human-Robot Task Scheduling1 citations · 2024