Shaghayegh Gharghabi

Papers

Total Citations

H-Index

About

Shaghayegh Gharghabi is a pioneer in human-robot interaction (HRI), specializing in creating socially intelligent robots that adapt to individual human characteristics. Her research focuses on two key areas: adaptive physical interaction and robust person recognition for service robots. In her most cited work, "Adaptive handshaking between humans and robots, using imitation" (10 citations), she introduced a groundbreaking method where robots dynamically adjust their handshake based on gender detection and person recognition, moving beyond rigid, one-size-fits-all interactions. This work laid the foundation for more natural, personalized physical collaboration between humans and machines. Gharghabi further advanced the field by addressing a critical limitation in HRI: reliable person recognition when faces are obscured. Her papers on "Person recognition based on face and body information" (5 citations) and "Improving person recognition by weight adaptation of soft biometrics" (3 citations) pioneered the use of soft biometrics—like body shape and gait—to identify individuals in unconstrained poses, significantly improving recognition accuracy for domestic service robots. By integrating these techniques, Gharghabi has enabled robots to recognize and respond to people even in challenging, real-world environments, making her a key contributor to the development of more perceptive, adaptive, and human-aware robotic systems.