Mostafa Mashayekhi
Papers
1
Total Citations
6
H-Index
1
About
Mostafa Mashayekhi is a researcher at the forefront of haptic technology and human-machine interaction, with a particular focus on integrating artificial intelligence to enhance dynamic system performance. His work centers on the identification and optimization of operator hand dynamics and haptic device behavior, leveraging AI methods to improve realism and precision in force-feedback systems. His most-cited paper, "Identification and optimization of the operator’s hand and a haptic device dynamic, using artificial intelligence methods" (2023), has already garnered 6 citations, signaling growing recognition for his innovative approach to bridging human biomechanics and robotic control. By applying machine learning techniques to model and optimize the complex interplay between human operators and haptic interfaces, Mashayekhi’s research has significant implications for teleoperation, virtual reality, and rehabilitation robotics. His contributions are paving the way for more intuitive and responsive haptic systems, making him a promising voice in the evolving field of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1