Qiao Min
Papers
1
Total Citations
6
H-Index
1
About
Qiao Min is a pioneering researcher at the intersection of brain-computer interfaces (BCI) and autonomous robotics, with a focus on developing intuitive, real-world control systems. Their most cited work, "Mind Controlled Vehicle Based on Lidar SLAM Navigation and SSVEP Technology" (2021, 6 citations), introduces a groundbreaking framework that combines steady-state visual evoked potentials (SSVEP) with LiDAR-based simultaneous localization and mapping (SLAM) to enable hands-free, thought-driven navigation. This integration addresses a critical gap in BCI research—moving beyond simple robotic arm or exoskeleton control to full vehicle autonomy. By fusing neural decoding with robust environmental mapping, Qiao Min’s approach enhances safety and precision, allowing users to command a vehicle through complex spaces using only visual attention. This work has significant implications for assistive technology, offering new mobility solutions for individuals with severe motor impairments. Though early in their career, Qiao Min’s contributions are already shaping the future of intelligent, human-centered robotics, bridging the gap between neural signals and autonomous systems with practical, scalable applications.
Research Focus
Key Achievements
Top Papers
- 1