Wael M. Mohammed
Papers
16
Total Citations
386
H-Index
10
About
Wael M. Mohammed is a leading researcher at the intersection of cyber-physical systems, human-robot collaboration, and intelligent manufacturing. His work has been instrumental in advancing Industry 4.0, particularly through the development of open-knowledge-driven manufacturing execution systems—a contribution that has garnered over 129 citations. Mohammed’s research focuses on creating seamless, intuitive interfaces for human-robot interaction, including emotion-driven control systems that adapt robotic behavior in real-time, and multimodal interfaces combining speech, touch, and gesture recognition. He has pioneered the use of deep learning and virtual reality for training, monitoring, and adapting collaborative robot workstations to individual human operators, as demonstrated in his highly cited 2019 and 2021 papers. His recent work explores the integration of Large Language Models into human-robot collaboration, addressing critical challenges like context-induced hallucinations. With over 350 total citations and a growing portfolio that includes machine vision applications for the food industry and extensions to the MoveIt motion planning framework, Mohammed’s research is shaping the future of safe, adaptive, and intelligent automation in manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1Cyber–Physical Systems for Open-Knowledge-Driven Manufacturing Execution Systems129 citations · 2016
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- 3Implementing a Human-Robot Collaborative Assembly Workstation34 citations · 2019
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- 5On-line Training and Monitoring of Robot Tasks through Virtual Reality22 citations · 2019
- 6Multimodal Interface for Human–Robot Collaboration20 citations · 2022
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