Papers

17

Total Citations

609

H-Index

9

About

Abdullah Mohammed is a prominent researcher specializing in human-robot collaboration, cloud-based robotics, and energy-efficient manufacturing systems. His work sits at the intersection of industrial automation, artificial intelligence, and sustainable manufacturing, making significant contributions to how robots and humans safely and efficiently coexist in modern production environments. Mohammed's most influential contribution, "Active Collision Avoidance for Human–Robot Collaboration Driven by Vision Sensors" (2016, 193 citations), pioneered novel safety frameworks for collaborative robotics using augmented environments — a foundational advancement as factories increasingly deploy cobots alongside human workers. His parallel work on cloud-based ubiquitous manufacturing (2016, 150 citations) helped establish architectural frameworks for delivering robotics-as-a-service, shaping the emerging cloud manufacturing paradigm. A recurring theme throughout his research is energy optimization, spanning robot arm movement efficiency (2014, 93 citations), sustainable assembly configurations, and multi-robot additive manufacturing for large-scale construction. His more recent work demonstrates an ambitious expansion into brain-computer interfaces, leveraging EEG signals to enable intuitive human-robot assembly collaboration. Collectively accumulating over 580 citations, Mohammed's research portfolio reflects a consistent drive to make industrial robotics smarter, safer, and more sustainable — qualities increasingly vital as manufacturing moves toward intelligent, human-centered automation.

Research Focus

Key Achievements

9
H-Index
17
Papers
609
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Active collision avoidance for human–robot collaboration driven by vision sensors
193 citations · 2016
📈 Most Prolific Year: 2016 (4 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: KTH Royal Institute of Technology, Cardiff Metropolitan University, Cardiff University, University of Skövde

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago