Amir Akramin Shafie
Papers
32
Total Citations
341
H-Index
10
About
Amir Akramin Shafie is a leading researcher in humanoid robotics and gait analysis, whose work bridges mechanical design, control systems, and artificial intelligence. His most cited paper, "GAIT ANALYSIS: SYSTEMS, TECHNOLOGIES, AND IMPORTANCE" (92 citations), established a foundational framework for understanding human gait as a biometric identifier and clinical tool, emphasizing continuous monitoring and accurate evaluation. Shafie’s contributions extend to the evolution of humanoid platforms, as seen in his influential review of global humanoid robot development (34 citations), and his hands-on work designing the Biped Intelligent Machine BIM-UIA (15 citations). He has advanced bipedal locomotion through geometric stability analysis of the BIOLOID humanoid (15 citations) and novel toddler-inspired gait control using PIC microcontrollers (13 citations). His interdisciplinary reach includes environmental sound classification with optimized neural networks (19 citations), nonlinear manipulator control via NARMA L2 techniques (13 citations), and even the mathematical aesthetics of the Golden Ratio (14 citations). With over 240 total citations across these works, Shafie’s research continues to shape autonomous robotics, from quadruped locomotion using Van Der Pol central pattern generators to intelligent soccer-playing mobile robots.
Research Focus
Key Achievements
Top Papers
- 1GAIT ANALYSIS: SYSTEMS, TECHNOLOGIES, AND IMPORTANCE92 citations · 2016
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- 4An attempt to develop a Biped Intelligent Machine BIM-UIA15 citations · 2011
- 5Geometrical analysis on BIOLOID humanoid system standing on single leg15 citations · 2011
- 6Golden Ratio, the Phi, and Its Geometrical Substantiation14 citations · 2011
- 7A novel gait for Toddler biped and its control using PIC 16F877A13 citations · 2011
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- 10Van Der Pol Central Pattern Generator (VDP-CPG) Model for Quadruped Robot11 citations · 2012