Papers
6
Total Citations
85
H-Index
4
About
Meifen Cao’s research lies at the intersection of mobile robotics, human-robot interaction, and sensor-based perception, with a particular focus on leveraging low-cost 3D sensors for intelligent robotic systems. Her most influential work, “Human motion tracking of mobile robot with Kinect 3D sensor” (2012, 54 citations), pioneered the use of the Kinect sensor onboard a mobile robot to directly control its velocity and attitude based on human 3D position data, overcoming challenges like noise and occlusion. Building on this, she developed methods for specific person recognition using individual skeletal features (2013) and vision-based object recognition in cluttered indoor environments (2012). Cao’s contributions extend to legged robotics, where she designed a hexapod robot with a custom 3-axis ground reaction force sensor for rough terrain navigation (2021), and to assistive technology, proposing a human fall detection system using CHLAC features from skeletal image sequences (2016). Her early work also includes a novel design scheme for neural oscillatory networks to generate humanoid biped walking patterns (1997). With a career spanning over two decades, Cao’s research demonstrates a sustained commitment to making robots more perceptive, responsive, and capable in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Human motion tracking of mobile robot with Kinect 3D sensor54 citations · 2012
- 2
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- 4Hexapod Robot with Ground Reaction Force Sensor on Rough Terrain7 citations · 2021
- 5Human fall detection using CHLAC features with skeletal image sequences3 citations · 2016
- 6