Sun-Il Chang
Papers
3
Total Citations
256
H-Index
3
About
Sun-Il Chang is a researcher specializing in flexible sensor systems, human-robot interaction safety, and capacitive sensing technologies, with a particular focus on developing innovative multi-modal sensing platforms for robotic applications. His most influential contribution, the 2009 paper on dual-mode capacitive proximity sensors, has garnered over 200 citations and represents a landmark achievement in the field — demonstrating that both tactile and proximity sensing capabilities could be integrated into a single flexible PDMS-based polymer platform using shared electrodes. This elegant solution addressed a fundamental challenge in robot-skin sensing by eliminating the need for separate sensing systems without sacrificing performance. Building on this foundation, Chang's earlier 2006 work laid the conceptual groundwork for dual-mode proximity-tactile sensing, while his 2017 research expanded the approach to compliant ultrasound-based proximity sensors designed specifically for safe human-robot collaboration. Together, these contributions reflect a coherent research vision: enabling robots to perceive and respond to their physical environment more safely and intelligently. Chang's work is particularly relevant as collaborative robotics and soft robotics continue to grow in importance, making his insights into compliant, multi-functional sensing platforms increasingly valuable to engineers and researchers designing the next generation of human-friendly robotic systems.
Research Focus
Key Achievements
Top Papers
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