Naif Alshammari
Papers
6
Total Citations
31
H-Index
3
About
Naif Alshammari is a researcher at the forefront of rehabilitation robotics and intelligent automation, with a focus on creating human-centered robotic systems. His most impactful work, the "Continuous Progressive Actuator Robot for Hand Rehabilitation" (14 citations), introduces a soft robot that uses McKibben artificial muscles to deliver Continuous Passive Motion therapy, offering a lightweight, simple, and effective solution for post-stroke recovery. Alshammari also explores legged locomotion, as seen in his dynamic simulation of a hexapod robot, and extends his expertise into tele-robotic frameworks for healthcare, including a COVID-19 classification system that leverages multi-dimensional medical datasets. His recent work ventures into smart agriculture with a blockchain-based predictive maintenance scheme (2024), showcasing the versatility of his automation skills. Despite a retracted paper on post-stroke tele-robotics, his core contributions to rehabilitation robotics and motion planning—such as evaluating robot performance using gradient generalized artificial potential fields—demonstrate a commitment to practical, impactful engineering. With a growing citation record, Alshammari is building a reputation for bridging soft robotics, AI, and real-world healthcare and agricultural challenges.
Research Focus
Key Achievements
Top Papers
- 1Continuous Progressive Actuator Robot for Hand Rehabilitation14 citations · 2020
- 2Dynamic simulation and design of a simple hexapod robot5 citations · 2020
- 3
- 4A Blockchain-based Predictive Maintenance Scheme for Smart Agriculture3 citations · 2024
- 5
- 6