Mehdi Afshari
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mehdi Afshari’s research lies at the intersection of robotics, sensorimotor control, and computational intelligence, with a focus on enabling machines to replicate the fluidity and adaptability of human movement. His most cited work, “Sensorimotor Control Using Adaptive Neuro-Fuzzy Inference for Human-Like Arm Movement” (2024), introduces a novel controller that characterizes muscle forces required for a robotic arm to perform circular trajectories with human-like precision. By integrating adaptive neuro-fuzzy inference with joint-space feedback, Afshari’s approach allows the system to select optimal internal muscle forces, ensuring accurate end-point tracking without sacrificing natural motion dynamics. This contribution has already garnered attention, with 2 citations in its first year, signaling its potential impact on prosthetics, rehabilitation robotics, and human-robot interaction. Afshari’s work bridges the gap between biological motor control principles and engineered systems, offering a scalable framework for designing robots that move more intuitively alongside humans. His achievements underscore a commitment to advancing adaptive control theory, making him a promising voice in the field of bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
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