Guilherme Deola Borges
Papers
4
Total Citations
21
H-Index
2
About
Guilherme Deola Borges is a researcher at the forefront of industrial human-robot collaboration (HRC), dedicated to making factories safer and more efficient. His work centers on the critical intersection of ergonomics, productivity, and system dynamics. Borges’s major contribution is the development of computational frameworks that model the complex, non-linear behaviors of HRC systems, enabling engineers to predict and mitigate risks like Work-related Musculoskeletal Disorders (WMSD) before they occur. His most cited paper, “Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling” (2021, 14 citations), provides a powerful tool for balancing worker well-being with operational output. Through case studies and simulation models, he demonstrates how to optimize assembly workstations by simulating the trade-offs between human factors and robotic assistance. Though early in his career, Borges’s focused body of work—including studies on ergonomic assessment and human factors modeling—establishes him as a key voice in the push toward truly human-centric automation, offering practical, data-driven solutions for the factories of tomorrow.
Research Focus
Key Achievements
Top Papers
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