Syed Kumayl Raza Moosavi
National University of Sciences and Technology, University of Agder
Papers
8
Total Citations
62
H-Index
5
About
Syed Kumayl Raza Moosavi is a rising researcher at the intersection of robotics, artificial intelligence, and disaster response. His work centers on collaborative robots (cobots) and bio-inspired snake robots, with a focus on human-robot interaction for emergency and search-and-rescue operations. Moosavi’s most cited paper, “Collaborative robots (cobots) for disaster risk resilience,” proposes a framework for deploying swarms of snake robots to deliver first aid in disaster aftermaths, demonstrating how cobots can work alongside humans to mitigate risks and save lives. He has also contributed significantly to robotic manipulation, developing forward and inverse kinematic models using hybrid deep learning and meta-heuristic algorithms to reduce computational complexity for high-degree-of-freedom manipulators. In the domain of human-robot interaction, Moosavi’s work on federated learning-enhanced EMG-based gesture recognition addresses critical privacy and security challenges in real-time control. His research on unmanned ground vehicles integrates gesture control and deep learning for optimized victim detection in chaotic environments. With a growing citation record and a series of forward-looking publications, Moosavi is establishing himself as a key contributor to resilient, intelligent robotic systems for real-world emergencies.
Research Focus
Key Achievements
Top Papers
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