Omar Obidat
Papers
7
Total Citations
35
H-Index
4
About
Dr. Omar Obidat is a leading researcher at the intersection of robotics, artificial intelligence, and human-robot collaboration (HRC), with a particular focus on trust, comfort, and adaptive interaction in manufacturing and smart agriculture. His major contributions include developing a POMDP-based computational model for robot-human trust during hand-over tasks, and pioneering the Teaching-Learning-Prediction-Collaboration (TLPC) framework that enables robots to dynamically understand and anticipate human partners' intentions. Dr. Obidat has also advanced practical HRC interfaces, such as an AI-embedded, ROS-compatible smart glove system for intuitive interaction, and explored physiological biometrics to reason about human trust in robots. His work on human comfort in collaborative manufacturing contexts has been foundational, while his recent "Ready or Not?" study (8 citations) extends these principles to robot-assisted crop harvesting in smart agriculture. With over 35 total citations across his most-cited papers, Dr. Obidat’s research is shaping the future of safe, efficient, and trust-aware human-robot teams, bridging theoretical models with real-world applications.
Research Focus
Key Achievements
Top Papers
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- 3A POMDP-based Robot-Human Trust Model for Human-Robot Collaboration6 citations · 2022
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