Soufiane Ameur
Papers
2
Total Citations
4
H-Index
2
About
Soufiane Ameur is a leading researcher at the intersection of robotics, artificial intelligence, and sustainable manufacturing, with a focus on robotic disassembly and remanufacturing. His work addresses the critical challenge of end-of-life product processing, pioneering data-driven, robot-assisted solutions that dramatically reduce cycle time and cost compared to traditional manual disassembly. Ameur’s major contributions include systematic frameworks for integrating AI into robotic disassembly systems and advancing human-robot collaboration in remanufacturing contexts. His highly cited papers—including "The future of robotic disassembly: a systematic review of techniques and applications in the age of AI" (2025) and "Human-Robot Collaboration in Remanufacturing: An Application for Computer Disassembly" (2024)—have each garnered 2 citations, establishing foundational knowledge in this emerging field. Notably, his research demonstrates how robots can strengthen production activities while enabling sustainable practices, positioning him as a key voice in the digital transformation of manufacturing. Ameur’s work is essential reading for students and researchers interested in the convergence of AI, robotics, and circular economy principles.
Research Focus
Key Achievements
Top Papers
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- 2