Pablo Segura
Papers
3
Total Citations
82
H-Index
3
About
Pablo Segura is a leading researcher in human-robot collaboration for advanced manufacturing, with a focus on designing safe, efficient, and ergonomic industrial systems. His work addresses the critical challenge of integrating robotic automation with human skill within shared workspaces, particularly in automotive and high-precision manufacturing environments. Segura’s most-cited paper (2021, 48 citations) provides a structural framework for current collaborative applications, bridging the gap between laboratory simulations and real-world shop floors. His subsequent survey on safety assurance (2022, 24 citations) systematically analyzes the protocols and technologies needed to protect human operators working alongside robots—a cornerstone concern for industry adoption. Most recently, his 2025 study (10 citations) pioneers the analysis of work roles in human-robot teams, revealing how task allocation affects cognitive ergonomics and operator well-being. By highlighting the often-overlooked psychological and organizational impacts of semi-automated systems, Segura is shaping the next generation of collaborative manufacturing. His research is essential reading for engineers and designers seeking to create workplaces that are both productive and human-centered.
Research Focus
Key Achievements
Top Papers
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