Mohamed Behery

RWTH Aachen University

Papers

10

Total Citations

37

H-Index

4

About

Mohamed Behery is a researcher whose work sits at the intersection of robotics, artificial intelligence, and industrial automation, with a particular focus on human-robot collaboration (HRC), shared autonomy, and the Internet of Production (IoP). His research addresses some of the most pressing challenges in Industry 4.0, including enabling safer and more flexible collaborative manufacturing processes for small and medium-sized enterprises that often lack specialized robotics expertise. Among his most notable contributions, Behery has advanced the use of Behavior Trees as a standardized framework for robotic assembly and self-optimizing agents, demonstrated in works such as "Safe and Flexible Collaborative Assembly Processes Using Behavior Trees and Computer Vision" and "Digital Shadows for Robotic Assembly in the World Wide Lab." His earlier work on teleoperation and shared autonomy — including action discretization for open-die forging and knowledge-based activity representations — laid important groundwork for transitioning human-guided tasks toward greater machine autonomy. He has also explored deep learning approaches to robot dynamics modeling using Transformer networks. With over 30 cumulative citations across publications spanning from 2016 to 2023, Behery's research is gaining growing recognition. His ongoing contributions to actionable AI and the IoP ecosystem position him as an emerging voice in intelligent, human-centered manufacturing systems.

Research Focus

Key Achievements

4
H-Index
10
Papers
37
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Framework for the Classification of Human-Robot Interactions Within the Internet of Production
7 citations · 2022
📈 Most Prolific Year: 2023 (6 Papers)
🤝 Key Collaborators: 61
🏛 Institutions: RWTH Aachen University

Top Papers

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    A Knowledge-Based Activity Representation for Shared Autonomy Teleoperation of Robotic Arms
    2 citations · 2016
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Key Collaborators

Contact & Links

Available for collaboration
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