Jin-Seok Jang
Papers
2
Total Citations
27
H-Index
2
About
Jin-Seok Jang is a leading researcher in the field of robotic tactile sensing, with a primary focus on developing multimodal sensing systems that bridge the gap between human and machine dexterity. His major contributions center on creating highly sensitive, planar-structured tactile modules that integrate multiple sensing modalities—including 3-axis force detection and temperature measurement—into compact, matrix-array designs. Jang’s work on texture identification has been particularly impactful, as demonstrated by his 2021 paper on a robot fingertip module, which has garnered 14 citations for its novel approach to enabling robots to discriminate between object textures by replicating human tactile capabilities. His 2023 study, with 13 citations, further advanced this field by introducing a 4×4 force sensor array with 2mm spacing, significantly improving dexterous manipulation for parallel grippers. These achievements underscore Jang’s role in pushing the boundaries of robotic perception, making his research essential reading for students and engineers working on haptics, soft robotics, and human-robot interaction. His work not only enhances robotic functionality but also lays the groundwork for more intuitive and adaptive automation systems.
Research Focus
Key Achievements
Top Papers
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