Ali S. A. Elsayed

University of Nottingham Malaysia Campus

Papers

2

Total Citations

19

H-Index

2

About

Ali S. A. Elsayed is a researcher focused on advancing robotic manipulator design, with a particular emphasis on lightweight, torque-optimized systems for industrial automation. His work centers on reducing the computational complexity of torque optimization and minimizing joint actuator loads, leading to safer, more efficient robotic arms. In his most-cited paper, "Design and analysis of a proposed light weight three DOF planar industrial manipulator" (2016, 11 citations), Elsayed introduces a novel approach to accurately calculate joint torque magnitudes, enabling lighter arm structures and simpler control systems. His subsequent study, "Torque Minimized Design of a Light Weight 3 DoF Planar Manipulator" (2019, 8 citations), further innovates by relocating all motors to the base, eliminating the need for motors on the links themselves. This design reduces the cumulative weight burden on preceding actuators, enhancing overall arm agility and energy efficiency. Elsayed’s contributions are pivotal for developing safer, more responsive industrial robots, offering practical solutions for manufacturing and automation sectors where precision and reduced mechanical stress are critical. His work continues to influence lightweight manipulator design, balancing computational efficiency with mechanical simplicity.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Design and analysis of a proposed light weight three DOF planar industrial manipulator
11 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Nottingham Malaysia Campus

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago