Yuxuan Han
Papers
2
Total Citations
23
H-Index
2
About
Yuxuan Han is a pioneering researcher at the intersection of microrobotics and intelligent human-robot interaction. His work spans two transformative domains: the development of insect-scale MEMS microrobots and language-driven robotic manipulation. In his seminal 2016 study, Han designed an innovative SMA actuator system integrated with pulse-type hardware neural networks on a single IC, successfully achieving fast walking motion in a hexapod microrobot—a breakthrough that has garnered 14 citations and laid foundational work for autonomous micro-scale locomotion. More recently, Han has tackled the critical challenge of perspective ambiguity in language-driven robot manipulation. His 2022 paper introduces a novel framework that combines perspective disambiguation with placement optimization, enabling robots to correctly interpret and execute verbal commands even when human and robot viewpoints differ. This work, with 9 citations, addresses a fundamental barrier in natural human-robot collaboration. Han’s unique ability to bridge hardware-level microactuation with high-level language understanding demonstrates remarkable versatility, positioning him as a key innovator in creating robots that are both physically capable and intuitively interactive.
Research Focus
Key Achievements
Top Papers
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- 2