Anas Shrinah
Papers
2
Total Citations
44
H-Index
2
About
Anas Shrinah is a researcher at the forefront of human-robot interaction (HRI), with a particular focus on the foundational elements that make collaboration between people and machines successful. His work centers on two critical pillars: trust and communication. In his highly cited 2019 study, "On the impact of different types of errors on trust in human-robot interaction" (39 citations), Shrinah conducted two independent laboratory studies to systematically investigate how various robot errors—from minor mistakes to major failures—erode human trust, providing essential insights for designing more reliable robotic systems. More recently, his 2024 work, "On the Design of Human-Robot Collaboration Gestures" (5 citations), addresses the practical challenge of nonverbal communication in noisy industrial environments. By developing and evaluating intuitive gesture sets for collaborative robots, Shrinah is paving the way for safer, more efficient human-robot teams on the factory floor. His research bridges the gap between theoretical trust models and real-world application, making him a key voice in creating robots that are not only capable but also trustworthy and easy to work with.
Research Focus
Key Achievements
Top Papers
- 1
- 2On the Design of Human-Robot Collaboration Gestures5 citations · 2024