Mashood Mukhtar
Papers
7
Total Citations
39
H-Index
4
About
Mashood Mukhtar is a robotics researcher whose work centers on the design, actuation, and intelligent control of advanced robotic manipulation systems. He is best known for pioneering the concept of **ambidextrous robotics** — developing robot hands and arms capable of performing both left- and right-hand movements, effectively doubling the range of motion compared to conventional dexterous robotic systems. Mukhtar's foundational contributions include the mechanical design and development of low-cost 3D-printed ambidextrous robotic hands actuated by Pneumatic Artificial Muscles (PAMs), introduced as early as 2014. His work addresses both the engineering challenges of ambidextrous hardware and the sophisticated control strategies needed to manage such systems. He has explored a diverse range of control methods — from classical PID and bang–bang controllers to backstepping, neural networks, and Multiple Adaptive Neuro-Fuzzy Inference Systems (MANFIS) — demonstrating a sustained commitment to bridging mechanical innovation with intelligent control. His most cited work (2021, 12 citations) presents a MANFIS-based control architecture combining pneumatic and electric actuation, reflecting the maturation of his research program. Collectively accumulating nearly 40 citations, Mukhtar's contributions offer accessible, scalable solutions relevant to teleoperation, biomedical robotics, and industrial automation, making his work particularly valuable for researchers exploring bio-inspired and cost-effective robotic systems.
Research Focus
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