Papers
8
Total Citations
71
H-Index
6
About
Asif Mahmood Mughal is a leading researcher in biomechatronics and rehabilitation robotics, with a core focus on developing advanced control strategies for human-assistive devices. His work bridges the gap between theoretical control engineering and practical clinical applications, particularly in restoring mobility for individuals with impairments. Mughal’s major contributions include the design of both model-based and model-free robust control strategies for lower limb rehabilitation exoskeletons, ensuring precise and accurate gait training. He has also pioneered the development of 3D bipedal models for biomechanical sit-to-stand (STS) transfer, integrating decoupled optimal control and coupled torque optimization to mimic natural human movement. His research extends to analytical modeling of anthropomorphic hands for bionic prostheses and robotic grippers, as well as nonlinear postural control for larger perturbations in the presence of neural delays. With several papers accumulating over 14 citations each, his work on exoskeleton control and STS modeling is highly influential. Mughal’s notable achievements include the use of Maple DynaFlexPro for bipedal modeling and bond graph modeling for recent applications, showcasing his versatility in computational biomechanics. His research is essential for advancing humanoid robotics and rehabilitation technologies, offering robust solutions for impaired individuals.
Research Focus
Key Achievements
Top Papers
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- 4Analytical modeling of anthropomorphic hand using simmechanics8 citations · 2017
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- 6Human Bipedal Biomechanical Modeling with Maple DynaFlexPro7 citations · 2007
- 7Recent Applications of Bond Graph Modeling5 citations · 2016
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