M.A. Elbestawi

McMaster University

Papers

19

Total Citations

436

H-Index

11

About

M.A. Elbestawi is a prominent researcher whose career has been defined by pioneering contributions to robotic manufacturing processes, precision motion control, and advanced machining systems. His work spans several decades and has made a lasting impact on the fields of robotic deburring, grinding, and force control systems. Elbestawi's early foundational research in the late 1980s and early 1990s focused on developing active end-effector systems for robotic deburring, implementing sophisticated force control algorithms on PUMA-560 robots to achieve controlled chamfer depths with minimal surface roughness. This body of work, including his adaptive force control strategies for robotic disk grinding and parametric process modeling, established him as a leading voice in intelligent robotic manufacturing. His 2004 paper on dual-stage feed drive design and control stands as his most cited contribution, accumulating 153 citations and reflecting his evolution toward high-precision motion systems. Collectively, his research addresses a critical industrial challenge: enabling robots to perform complex material removal tasks with the precision and adaptability traditionally requiring skilled human operators. With contributions spanning adaptive control, process sensing, and constrained robot dynamics, Elbestawi's work continues to inform both academic research and industrial automation, making him an essential reference for engineers and researchers working at the intersection of robotics and advanced manufacturing.

Research Focus

Key Achievements

11
H-Index
19
Papers
436
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Design and control of a dual-stage feed drive
153 citations · 2004
📈 Most Prolific Year: 1991 (4 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: McMaster University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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