Behzad Sadrfaridpour
Papers
9
Total Citations
361
H-Index
6
About
Behzad Sadrfaridpour is a robotics and human-robot interaction researcher whose work sits at the intersection of collaborative manufacturing, trust modeling, and intelligent control systems. He is best known for pioneering frameworks that enable safe and effective collaboration between humans and robots in hybrid manufacturing environments, with his landmark 2017 paper, "Collaborative Assembly in Hybrid Manufacturing Cells," accumulating over 150 citations and establishing him as a leading voice in the field. A central theme throughout Sadrfaridpour's research is the role of trust in human-robot collaboration. He has developed computational models that quantify and leverage human trust to dynamically allocate subtasks, optimize control strategies, and adapt robot behavior in real time — work reflected in his highly cited 2016 and 2015 publications totaling over 140 combined citations. His trust-based impedance control and handover planning techniques further demonstrate his commitment to bridging psychological and physical dimensions of human-robot teaming. More recently, Sadrfaridpour has extended his expertise into dexterous robotic manipulation, exploring tactile-feedback-driven grasping under visual uncertainty using advanced robotic hands. Collectively, his body of work advances the vision of intelligent, human-aware robots capable of functioning as genuine collaborative partners in both industrial and everyday settings.
Research Focus
Key Achievements
Top Papers
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- 2Modeling and Control of Trust in Human-Robot Collaborative Manufacturing86 citations · 2016
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- 9Grasping in the Dark: Zero-Shot Object Grasping Using Tactile Feedback3 citations · 2020