Mahmoud Al-Tamimi

Memorial University of Newfoundland

Papers

2

Total Citations

17

H-Index

2

About

Mahmoud Al-Tamimi is a rising researcher at the intersection of soft robotics and micro-mechatronics, with a focus on bio-inspired design and precision motion systems. His most cited work, "Development of a Low-Cost Soft Robot Fish With Biomimetic Swimming Performance" (2023, 14 citations), introduces a novel approach to soft robotics by combining straightforward fabrication techniques with numerical analysis of biological locomotion, resulting in an accessible, high-performance biomimetic platform. This contribution is notable for its emphasis on cost-effective design without sacrificing swimming efficiency—a significant step toward practical, deployable soft robots. In parallel, Al-Tamimi has explored precision challenges in micro-robotics, as seen in his study on spherical joint clearance and its effect on rotation accuracy in parallel micro-robotic systems (2021, 3 citations). This work addresses a critical nonlinearity that limits positioning fidelity in micromanipulation tasks. While his citation counts are still building, Al-Tamimi’s research demonstrates a clear trajectory: bridging the gap between biological inspiration and mechanical precision. His work is particularly relevant for students and researchers interested in soft robotics, biomimetics, and micro-robotic system design.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Development of a Low-Cost Soft Robot Fish With Biomimetic Swimming Performance
14 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Memorial University of Newfoundland

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago