Taili Du
Papers
2
Total Citations
3
H-Index
1
About
Taili Du is a rising researcher at the forefront of intelligent robotics and advanced materials, whose work is pioneering the integration of triboelectric nanogenerators with machine learning for next-generation sensory systems. His primary research areas include triboelectric sensors, MXene-based composites, and human-robot interaction, with a focus on enabling robotic systems to achieve human-like tactile and touchless perception. Du’s major contributions lie in the development of hybrid sensing platforms that combine MXene and polyacrylonitrile-based carbon fibers to create bimodal triboelectric sensors, significantly enhancing robotic arm perception and control. His 2025 paper on this topic has already garnered 2 citations, demonstrating early impact in the field. Additionally, his work on an MXene and deep learning-enabled hybrid triboelectric–electromagnetic sensor for robotic hands represents a leap forward in tactile and touchless perception, with 1 citation to date. These innovations are critical for advancing intelligent automation, prosthetics, and human-robot collaboration. Du’s research not only pushes the boundaries of sensor technology but also bridges the gap between material science and artificial intelligence, making him a notable emerging voice in the field of smart robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2