Feifei Zhong
Papers
4
Total Citations
39
H-Index
4
About
Feifei Zhong is a robotics researcher whose work focuses on advancing the control and locomotion of robotic systems, particularly articulated arms and quadruped robots. Her major contributions span dynamic parameter identification, stability control, and human-robot motion imitation. In her most-cited paper (14 citations), she developed an improved particle swarm optimization method combined with comprehensive excitation trajectories to identify dynamic parameters for a 6R robotic arm, directly enhancing control precision for complex interactions. Her second most-cited work (13 citations) introduced a center-of-mass dynamic planning strategy for quadruped robots, addressing locomotion stability on unstructured terrain—a critical challenge for field robotics. Zhong also innovated in humanoid motion imitation by fusing Denavit–Hartenberg and screw theory for inverse kinematics, enabling real-time human arm replication using Kinect sensors (8 citations). Her research on contact detection through multi-information fusion further supports robust quadruped locomotion in challenging environments. With all key papers published in 2023, Zhong is establishing a strong foundation in robotic control and dynamics, making her a promising voice in the field of intelligent robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
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