Mohammad Akbar
Papers
2
Total Citations
56
H-Index
2
About
Mohammad Akbar is a researcher at the forefront of intelligent control systems and soft robotics, whose work bridges theoretical simulation with practical hardware implementation. His most influential contribution, "Simulation of fuzzy logic control for DC servo motor using Arduino based on MATLAB/Simulink" (2014), has garnered 47 citations and demonstrates his expertise in advancing beyond traditional PID controllers. By integrating fuzzy logic with accessible microcontroller platforms, Akbar provided a robust, real-world solution for precision motor control—a cornerstone for modern automation and mechatronics. In the emerging field of soft robotics, his work on "Design and Manufacturing of Motor-Tendon Actuator for a Soft Starfish-Like Robot" (2018) offers a novel alternative to pneumatic and SMA actuators. This motor-tendon system enables more compliant, safer, and adaptable robotic movements, directly addressing key limitations in bio-inspired design. Akbar’s research is notable for its practical focus, translating complex control theories into tangible, low-cost prototypes. His combined contributions in fuzzy logic control and soft actuation position him as a key innovator in creating intelligent, flexible machines for industrial and biomedical applications.
Research Focus
Key Achievements
Top Papers
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