Jeonghee Kim
Papers
4
Total Citations
211
H-Index
4
About
Jeonghee Kim is a multidisciplinary researcher whose work spans construction automation, human-robot interaction, and intelligent systems. Most prominently, Kim has emerged as a leading voice in excavator teleoperation, with their 2022 paper on the challenges and opportunities of human-in-the-loop construction automation garnering an impressive 148 citations — a testament to the field's urgent need for frameworks that balance human oversight with automated efficiency. Their follow-up work in 2023 on multi-user immersive environments for excavator teleoperation further demonstrates a sustained commitment to reimagining how operators interact with heavy construction machinery through advanced interfaces. Beyond construction, Kim has made meaningful contributions to lifelong machine learning, developing dual-memory deep learning architectures capable of continuously learning from everyday human behaviors captured through wearable sensors — work that holds significant promise for personalized AI assistants and humanoid robotics. Earlier in their career, Kim also explored rehabilitation engineering, contributing to a tongue-driven robotic hand therapy device that harnessed principles of neuroplasticity to support stroke recovery. Across these diverse domains, Kim's research is unified by a core interest in human-centered systems — designing technology that meaningfully augments human capability, whether on a construction site or in everyday life.
Research Focus
Key Achievements
Top Papers
- 1
- 2Dual-memory deep learning architectures for lifelong learning of everyday human behaviors34 citations · 2016
- 3Multi-user immersive environment for excavator teleoperation in construction24 citations · 2023
- 4