Junlin Su

Papers

Total Citations

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About

Dr. Junlin Su is a leading researcher in human–robot interaction (HRI) and intelligent manufacturing systems, with a focus on bridging the gap between human operators and autonomous machinery. His most cited work, "Designs of human–robot interaction using depth sensor-based hand gesture communication for smart material-handling robot operations" (2022, 31 citations), pioneers the use of depth-sensing technology for intuitive, contactless gesture control in industrial settings. This contribution addresses critical challenges in smart manufacturing by enabling safer, more efficient human–robot collaboration without the need for wearable devices or complex programming. Dr. Su’s research integrates biometric recognition, sensor fusion, and adaptive control algorithms to create natural communication channels between humans and robots. His work has significant implications for Industry 4.0, particularly in material handling, assembly, and logistics automation. By advancing gesture-based HRI, Dr. Su is helping to redefine workplace safety and productivity, making sophisticated robotic systems accessible to non-expert operators. His ongoing contributions continue to influence the design of next-generation collaborative robots, positioning him as a key figure in the evolution of human-centered automation.