Ramy Meziane
Papers
7
Total Citations
119
H-Index
5
About
Ramy Meziane is a leading researcher in collaborative robotics, specializing in human-robot interaction for manufacturing. His work focuses on creating safer, more efficient hybrid workspaces where humans and industrial manipulators share production activities. Meziane's major contributions include the development of the SPADER system (53 citations), an adaptive trajectory planning strategy that enables robots to dynamically avoid collisions with human workers and moving assembly components. He has also pioneered robust dynamic scheduling algorithms that account for human-induced variability and time-related operator errors, ensuring seamless collaboration. Notably, Meziane has explored intuitive control modalities, such as foot gesture recognition using time-series signal features and dynamic time warping, allowing workers to select cobot operating modes hands-free—a concept he frames as using the cobot as a "third arm." His recent work on adaptive PID control for cable-driven parallel robots and theoretical foundations for erroneous human-robot behavior demonstrates his commitment to advancing both practical applications and foundational understanding. With over 100 total citations, Meziane's research is instrumental in shaping the future of flexible, human-centric manufacturing systems.
Research Focus
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