Mingai Li

About

Mingai Li’s research lies at the intersection of brain-computer interfaces (BCI) and autonomous mobile robotics, with a particular focus on rehabilitation systems and intelligent navigation. Her most significant contributions center on improving motor imagery EEG (MI-EEG) recognition, a critical component for BCI-driven robotic rehabilitation in stroke survivors. In her highly cited 2016 work, she introduced a locally linear embedding algorithm for feature extraction and visualization of MI-EEG, while a companion study combined long short-term memory networks with wavelet coefficients to achieve robust EEG recognition—papers that together have garnered over 66 citations. Beyond BCI, Li has advanced mobile robotics through semantic map building using object detection for indoor navigation and scene recognition via hierarchical latent topic models. Her more recent work includes PLI-VIO, a real-time monocular visual-inertial odometry system that leverages point and line interrelated features. Across her career, Li has demonstrated a consistent ability to bridge signal processing, machine learning, and robotics, producing practical solutions for assistive technology and autonomous systems. Her research continues to influence both rehabilitation engineering and robotic perception.

Research Focus

Key Achievements

Top Papers

1. 1
   Applying a Locally Linear Embedding Algorithm for Feature Extraction and Visualization of MI-EEG

   37 citations · 2016
2. 2
   Combined long short-term memory based network employing wavelet coefficients for MI-EEG recognition

   29 citations · 2016
3. 3
   Semantic Map Building Based on Object Detection for Indoor Navigation

   16 citations · 2015
4. 4
   Scene and place recognition using a hierarchical latent topic model

   16 citations · 2014
5. 5
   PLI-VIO: Real-time Monocular Visual-inertial Odometry Using Point and Line Interrelated Features

   13 citations · 2023
6. 6
   Monocular Robot Tracking Scheme Based on Fully-Convolutional Siamese Networks

   5 citations · 2018
7. 7
   Place recognition based on Latent Dirichlet Allocation

   3 citations · 2011
8. 8
   Balance control of robot with CMAC based Q-learning

   3 citations · 2008
9. 9
   An interactive intelligent robot system for supporting book acquisition

   2 citations · 2009
10. 10
    Research on object recognition using bag of word model for mobile robot navigation

    2 citations · 2011

Key Collaborators

Contact & Links