Papers
3
Total Citations
28
H-Index
3
About
Dr. Maryam Jafari is a robotics researcher whose work bridges the gap between theoretical control systems and practical biomechanical applications. Her primary research areas include nonlinear control theory, bio-inspired robotics, and prosthetic limb technology. Dr. Jafari’s most significant contribution is her development of a nonsingular terminal sliding algorithm for the swing and stance control of a prosthetic leg robot, a 2022 paper that has already garnered 21 citations. This work addresses a critical challenge in assistive robotics—ensuring smooth, stable transitions between walking phases—by eliminating singularities that plague conventional sliding mode controllers. Earlier in her career, she pioneered the integration of PI/backstepping control with genetic algorithm optimization for snake robots, demonstrating how evolutionary computation can fine-tune robust controllers to mimic biological locomotion patterns. Her 2014 papers on this subject, while modest in citation count (3-4 each), laid foundational groundwork by proving closed-loop stability while achieving fluid, adaptive motion. Dr. Jafari’s research exemplifies how advanced control theory can be translated into tangible improvements in robotic mobility, from serpentine exploration to human augmentation. Her work continues to influence the design of safer, more responsive prosthetic and rehabilitation devices.
Research Focus
Key Achievements
Top Papers
- 1
- 2PI/backstepping control of snake robot optimazed by Genetic Algorithm4 citations · 2014
- 3PI/backstepping control of snake robot optimazed by genetic algorithm3 citations · 2014