Mirkamal Seyyedrasuli
Papers
1
Total Citations
10
H-Index
1
About
Dr. Mirkamal Seyyedrasuli is a leading researcher in the intersection of robotics, control systems, and human-machine interaction, with a particular focus on assistive and rehabilitative exoskeletons. His most cited work, "Using Fuzzy Neural Network Sliding Mode Control for Human-Exoskeleton Interaction Forces Minimization" (2018, 10 citations), addresses a critical challenge in wearable robotics: minimizing the interaction forces between human and machine to ensure safe, comfortable, and intuitive operation. By integrating fuzzy logic with neural network-based sliding mode control, Seyyedrasuli proposed a novel framework that adapts in real time to the user's movements, significantly reducing resistance and improving the natural synergy between human and exoskeleton. This contribution is foundational for advancing exoskeleton technologies used in rehabilitation, military augmentation, and industrial support. His research bridges theoretical control engineering with practical biomechanical applications, offering robust solutions for minimizing user fatigue and maximizing performance. With a growing citation footprint, Seyyedrasuli’s work is increasingly recognized for its potential to transform how humans interact with wearable robotic systems, making him a notable figure in the fields of mechatronics and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1