Papers
5
Total Citations
35
H-Index
3
About
Zohaib Aftab’s research lies at the intersection of biomechanics, robotics, and human balance control, with a focus on developing assistive technologies for mobility and stability. His most influential work, “Predicting multiple step placements for human balance recovery tasks” (2012, 19 citations), introduced a computational framework to anticipate how humans recover from loss of balance—a critical insight for designing safer exoskeletons and fall-prevention systems. This foundational study remains his most cited contribution. Aftab has since advanced the field of lower-body wearable exoskeletons, contributing systematic methods for motor-reducer selection (2021, 5 citations) and simulation-based torque and power estimation (2017, 3 citations) to optimize power-to-weight ratios and cost efficiency. His modeling and simulation of a lower-body exoskeleton using robotics techniques (2016, 6 citations) further demonstrates his expertise in human-robot interaction. Notably, his early work on dynamic simulation of balance loss in public transport passengers (2012, 2 citations) addressed a real-world safety challenge, highlighting his commitment to translational research. With a career spanning over a decade, Aftab’s contributions provide essential tools for engineers and clinicians aiming to enhance human mobility and prevent falls through intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Predicting multiple step placements for human balance recovery tasks19 citations · 2012
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