Papers
6
Total Citations
83
H-Index
4
About
Sabrina Jocelyn is a leading voice in the safety engineering of collaborative robotics, where her work directly addresses the critical challenge of integrating intelligent machines into human-centered workplaces. Her research focuses on risk assessment methodologies for human-robot collaboration (HRC), with a particular emphasis on AI-driven tools and standardization. Jocelyn’s most impactful contribution is a systematic review of risk assessment methods for safe HRC, which has garnered 34 citations and serves as a foundational reference for the field. She has pioneered the use of computer vision for real-time job hazard analysis during disassembly tasks, and her innovative application of large language models (LLMs) to Failure Mode and Effects Analysis (FMEA) represents a cutting-edge approach to dynamic safety management. Her work is distinguished by its practical focus, as seen in her experience feedback study on implementing cobots in real workplaces, which highlights the nuanced risks arising from prolonged human-robot exposure. Jocelyn’s comprehensive bibliometric analysis further establishes safety as the core concern in collaborative robotics research, providing a clear roadmap for future inquiry. Through her integration of AI, real-time monitoring, and systematic risk frameworks, Jocelyn is shaping the standards and technologies that will define the next generation of safe, productive human-robot collaboration.
Research Focus
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Top Papers
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- 6LLM-Driven FMEA for Safe Human-Robot Collaboration in Disassembly3 citations · 2025