Meenakshi Manjunath

Technical University of Applied Sciences Würzburg-Schweinfurt

Papers

Total Citations

H-Index

About

Meenakshi Manjunath is an emerging researcher specializing in model-based safety analysis, human-robot collaboration, and digital twins for robotic systems. Her work sits at the intersection of systems engineering and intelligent manufacturing, addressing one of the field's most pressing challenges: ensuring the safety and reliability of robotic systems as they become increasingly integrated into complex, human-occupied workflows. Manjunath's most notable contribution, "Safety Analysis of Human Robot Collaborations with GRL Goal Models" (2023), has garnered 7 citations and demonstrates her innovative application of Goal-oriented Requirements Language (GRL) to proactively identify safety risks in collaborative environments. Building on this foundation, her subsequent research explores early-stage model-based safety analysis and the engineering of digital twins — virtual representations that enable continuous monitoring and adaptation of robotic systems in smart manufacturing contexts. Her work is particularly timely, addressing the practical reality that full automation remains economically and technically infeasible for many tasks, making safe human-robot collaboration essential. With a growing body of work accumulating 16 citations across just two years, Manjunath represents a promising voice in the systems engineering and robotics safety community, offering frameworks that bridge theoretical modeling and real-world industrial application.