Vahid Bahrami
Papers
5
Total Citations
34
H-Index
3
About
Vahid Bahrami is a robotics researcher specializing in the control and dynamic modeling of cable-driven serial chain robots, with a strong focus on rehabilitation applications. His work centers on developing advanced controllers for planar serial chains that interact with cable-driven systems, aiming to create assistive devices for individuals with arm disabilities. Bahrami’s most impactful contribution is his 2021 study on dynamic modeling and feedback linearization control for a 2-DoF cable-driven robot, which has garnered 15 citations and established a foundation for rehabilitation robotics. He further advanced this area with an adaptive neural network-based controller for the same system, earning 10 citations. His recent research explores redundancy resolution using adaptive neuro-fuzzy controllers and reinforcement learning-based actor-critic neural networks, addressing torque constraints in serial chain robots. With a total of over 30 citations across his key papers, Bahrami’s work bridges theoretical control design and practical rehabilitation robotics, offering innovative solutions for human-robot interaction and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5