Rafael Ariente Neto
Papers
2
Total Citations
16
H-Index
2
About
Rafael Ariente Neto is a researcher at the forefront of industrial ergonomics and human-robot collaboration (HRC), focusing on the safe and productive integration of robotic systems in manufacturing environments. His work addresses a critical challenge: how to implement HRC workstations that simultaneously reduce the risk of Work-related Musculoskeletal Disorders (WMSD) and boost productivity, despite the non-linear dynamics of human-machine interaction. His most cited paper, "Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling" (2021, 14 citations), introduces a novel system dynamics approach to guide decision-making for safer workplace design. In a complementary study, "A Computational Assessment of Ergonomics in an Industrial Human-Robot Collaboration Workplace Using System Dynamics" (2021, 2 citations), he provides a computational framework to evaluate ergonomic outcomes in real-world HRC settings. By bridging system dynamics modeling with occupational health, Neto’s contributions offer practical tools for engineers and safety professionals aiming to optimize collaborative workflows. His work is particularly valuable for students and researchers exploring the intersection of robotics, ergonomics, and industrial safety, highlighting how computational models can mitigate injury risks while enhancing operational efficiency.
Research Focus
Key Achievements
Top Papers
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- 2