Papers
10
Total Citations
197
H-Index
8
About
Yuvin Chinniah is a researcher whose work spans industrial safety, human-robot collaboration, and intelligent manufacturing systems. His career reflects a compelling evolution from foundational control engineering — evidenced by his early work on failure monitoring in hydrostatic actuation systems using the extended Kalman filter (2006, 51 citations) — toward cutting-edge research at the intersection of robotics, artificial intelligence, and workplace safety. Chinniah has made significant contributions to the field of human-robot collaboration (HRC), particularly in identifying and mitigating safety risks in manufacturing environments. His systematic reviews on risk assessment methods and AI integration (2024, 34 citations) and collaborative assembly line balancing (2023, 41 citations) have become important references for researchers and practitioners alike. His 2016 overview of robot risk assessment (15 citations) helped frame industrial safety standards during a period of rapid cobot adoption. More recently, Chinniah has pioneered the application of large language models to failure mode and effects analysis (FMEA) in disassembly tasks and explored human-centered cyber-physical systems in smart manufacturing. With a body of work totaling over 190 citations, his research meaningfully advances safer, more intelligent human-robot partnerships in real-world industrial settings.
Research Focus
Key Achievements
Top Papers
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- 5Robot Safety: Overview of Risk Assessment and Reduction15 citations · 2016
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- 9LLM-Driven FMEA for Safe Human-Robot Collaboration in Disassembly3 citations · 2025
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