Papers
6
Total Citations
285
H-Index
5
About
Celal Savur is a leading researcher at the forefront of human-robot collaboration (HRC), specializing in making industrial robots safer, more intelligent, and more responsive to human partners. His work centers on three core pillars: **dynamic awareness**, **physiological computing**, and **human safety**. Savur’s most influential contribution is his comprehensive 2020 survey on HRC in industrial settings, which has garnered over 210 citations and established a foundational framework for the field. He pioneered the use of Time-of-Flight laser-ranging sensors to give robotic arms real-time spatial awareness, enabling them to detect and react to human presence. More recently, Savur has advanced the integration of physiological computing—using biosignals to estimate a human’s cognitive load, comfort, and perceived safety during close-proximity tasks. His innovative work on quantifying a “human comfortability index” and evaluating perceived safety through multi-modal data collection is paving the way for truly adaptive, human-centric automation. Through his development of the HRC-SoS experimentation platform, Savur provides the research community with a vital testbed for exploring the awareness, intelligence, and compliance required for the factories of the future.
Research Focus
Key Achievements
Top Papers
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- 3Survey on Physiological Computing in Human–Robot Collaboration18 citations · 2023
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