Menglong Liu
Papers
2
Total Citations
30
H-Index
2
About
Menglong Liu is a researcher at the forefront of flexible electronics and robotic perception, with key contributions in tactile sensing and sensor calibration. His most cited work, a 2021 theoretical model of a flexible capacitive pressure sensor with microstructured electrodes, has garnered 28 citations for its groundbreaking approach to highly sensitive electronic skin. This model addresses critical challenges in smart wearables, prosthetics, and robotics by enhancing sensitivity in low-pressure regions and enabling fast response times—a major advancement for tactile sensing devices. Liu’s research also extends to robotics, where his 2018 study on accurate hand-eye calibration with global optimization, though less cited, provides a robust solution for aligning robot hands with vision sensors in applications like 3D measurement and visual servoing. By bridging theoretical modeling and practical calibration, Liu has made notable strides in improving sensor performance and robotic precision. His work not only advances electronic skin technology but also supports the development of more intuitive human-machine interfaces, marking him as a promising figure in the fields of flexible electronics and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2An accurate hand-eye calibration algorithm with global optimization2 citations · 2018