Sandra Murg
Papers
1
Total Citations
17
H-Index
1
About
Dr. Sandra Murg is a leading researcher in human-robot collaboration (HRC), specializing in the intersection of cognitive ergonomics and real-time interaction systems. Her work centers on leveraging human attention processes—particularly gaze behavior—to optimize the safety and intuitiveness of collaborative robotics. In her highly cited 2019 paper, "Gaze-based Human Factors Measurements for the Evaluation of Intuitive Human-Robot Collaboration in Real-time," she introduced a novel framework that uses eye-tracking to assess operator situation awareness in real time. This contribution has been foundational for developing adaptive HRC systems that respond dynamically to human cognitive states, earning 17 citations and influencing subsequent studies in industrial and service robotics. Dr. Murg’s research bridges engineering and psychology, offering practical tools for evaluating and enhancing human-robot teamwork. Her work is particularly notable for its emphasis on non-invasive, real-time assessment, making it directly applicable to manufacturing and assistive technologies. By quantifying how humans perceive and anticipate robot actions, she has helped pave the way for more natural, efficient, and safer collaborative environments.
Research Focus
Key Achievements
Top Papers
- 1