Jong Gwan Lim
Papers
2
Total Citations
59
H-Index
2
About
Jong Gwan Lim is a pioneering researcher in human-robot interaction, with a specialized focus on touch-based communication systems for service robots. His work centers on developing robust, real-time algorithms that enable robots to recognize and respond to human touch patterns—a critical but often underexplored channel alongside vision and speech. Lim’s major contributions include the creation of a Temporal Decision Tree (TDT) classifier for online touch behavior recognition, first introduced in his 2008 paper (33 citations), which allows hard-cover robots to interpret tactile inputs dynamically. He further advanced this field with a 2010 study (26 citations) that enhanced pattern recognition for dynamic, proximate interactions, addressing challenges like noise and variability in real-world settings. By prioritizing reactive, computationally efficient solutions, Lim has helped reduce the barriers to intuitive robot design, enabling more natural and cost-effective human-robot collaboration. His work remains foundational for researchers aiming to integrate touch as a primary interaction modality in service robotics, demonstrating lasting impact through continued citations and influence on subsequent tactile sensing innovations.
Research Focus
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Top Papers
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