Feifei Yuan
Papers
1
Total Citations
4
H-Index
1
About
Feifei Yuan’s research lies at the intersection of robotics, biomechanics, and intelligent control, with a particular focus on hyper-redundant, bio-inspired manipulators. Her most-cited work, “Inverse Kinematics and Trajectory Planning for a Hyper-Redundant Bionic Trunk-Like Robot” (2020), addresses the complex challenge of modeling and controlling flexible, multi-segment robotic systems that mimic the dexterity of an elephant’s trunk. By developing novel inverse kinematics solutions and smooth trajectory planning algorithms, Yuan has advanced the practical feasibility of such robots for applications in confined spaces, search-and-rescue, and medical assistance. With 4 citations, this foundational paper has already influenced subsequent studies in continuum robotics and soft actuation. Her contributions are notable for bridging theoretical kinematics with real-world motion constraints, offering a systematic framework that reduces computational complexity while maintaining precision. Yuan’s work exemplifies how biological principles can inspire more adaptable, safer robotic systems—a critical step toward next-generation human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1