Papers
8
Total Citations
54
H-Index
4
About
Dr. Yifei Ge is a pioneering researcher at the intersection of intelligent robotics and deep learning, with a primary focus on two transformative domains: automated robotic systems for the food service industry and rehabilitation exoskeletons for stroke patients. In the field of service robotics, Dr. Ge has made groundbreaking contributions by developing lightweight, high-efficiency object detection models—such as YOLO-GG and YOLO-OR—specifically designed for empty-dish recycling robots. Their innovative work on IoT-based automatic deep learning model generation, which has garnered 21 citations, addresses critical labor shortages in food service by enabling robots to accurately and rapidly detect dishes. Additionally, Dr. Ge’s research on dataset purification techniques has further enhanced model performance while reducing computational costs. In rehabilitation robotics, Dr. Ge has advanced human-gait-based tracking control for lower limb exoskeletons, proposing novel control strategies—including human-like robust adaptive PD control and plantar reaction force tracking—that improve rehabilitation outcomes for patients with dyskinesias. With over 50 total citations across their publications, Dr. Ge’s work bridges the gap between theoretical deep learning advances and practical robotic applications, demonstrating significant impact in both assistive technology and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human-Gait-Based Tracking Control for Lower Limb Exoskeleton Robot11 citations · 2022
- 3YOLO-GG: a slight object detection model for empty-dish recycling robot6 citations · 2022
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- 6Simulation of Limb Rehabilitation Robot Based on OpenSim3 citations · 2020
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