Papers
1
Total Citations
14
H-Index
1
About
Asma Channa is a researcher at the forefront of assistive robotics and human–machine interaction, with a particular focus on fractional order control systems for wearable technologies. Her work centers on developing sophisticated control laws for hand exoskeletons, integrating sensor feedback to monitor and regulate human movement with enhanced precision. Her most-cited paper, "Exoskeleton Hand Control by Fractional Order Models" (2019, 14 citations), introduces innovative fractional order control strategies that account for physical significance variables and system delays, addressing the inherent complexity of biological and mechanical interactions. This contribution is pivotal for advancing rehabilitation devices and prosthetics, offering more natural and adaptive responses to user intent. Channa’s research bridges theoretical control engineering with practical biomedical applications, aiming to improve quality of life for individuals with motor impairments. Her achievements underscore a commitment to translating complex mathematical models into tangible assistive technologies, making her a notable figure in the growing field of intelligent exoskeleton systems.
Research Focus
Key Achievements
Top Papers
- 1Exoskeleton Hand Control by Fractional Order Models14 citations · 2019