Jinming Huang

Papers

Total Citations

H-Index

About

Jinming Huang is a researcher whose work bridges the critical fields of **robotics control** and **brain-computer interfaces (BCIs)**. In robotics, Huang has made significant contributions to the adaptive control of **flexible joint robot systems**, a notoriously challenging area due to uncertainties and disturbances. Their 2015 paper, "A new adaptive tracking control approach for uncertain flexible joint robot system," with 13 citations, presents a novel controller that elegantly combines adaptive backstepping and dynamic surface control to solve the "explosion of complexity" problem—a major hurdle in advanced robotics. This work builds on their earlier foundational study from 2014, which established a simpler adaptive framework for the same problem. More recently, Huang has ventured into **neural engineering**, tackling the practical barriers to BCI adoption. Their 2025 paper introduces a **portable EEG signal acquisition system** paired with a limited-electrode classification network for steady-state visual evoked potentials (SSVEP). With 5 citations already, this work directly addresses the field's key limitation: the reliance on cumbersome wet electrodes and excessive channels. By proposing a simpler, more user-friendly system, Huang is paving the way for BCIs to transition from the lab into everyday life, demonstrating a versatile ability to solve complex control problems across both mechanical and neural systems.