Alikhan Aryslanov
Papers
1
Total Citations
4
H-Index
1
About
Alikhan Aryslanov is a rising researcher at the forefront of intelligent robotics and self-powered sensing systems. His primary research interests lie in triboelectric nanogenerators (TENGs), tactile sensing, and machine learning for robotic perception. Aryslanov’s most notable contribution is the development of a human-like robotic hand embedded with advanced TENG-based tactile sensors, capable of autonomously recognizing object shapes and materials. This work, published in 2025, overcomes the limitations of traditional piezoelectric sensors, which are often temperature-sensitive and less effective in dynamic environments. By integrating a novel pattern recognition method, his system enables precise, self-powered tactile feedback—a critical step toward more adaptive and energy-efficient prosthetics and industrial robots. Though early in his career, his flagship paper has already garnered 4 citations, signaling growing interest in his approach. Aryslanov’s work bridges materials science and artificial intelligence, offering a scalable solution for next-generation human-machine interfaces. His achievements highlight a promising trajectory in sustainable, intelligent robotics, with potential applications ranging from assistive devices to automated manufacturing.
Research Focus
Key Achievements
Top Papers
- 1