Wen-Fan Li
Papers
2
Total Citations
5
H-Index
2
About
Wen-Fan Li is an emerging robotics researcher whose work centers on anthropomorphic manipulator systems and human-robot interaction (HRI). Specializing in the design and motion planning of humanoid robotic arms, Li's research addresses one of the field's most compelling challenges: enabling robots to not only resemble human form but to move with genuinely human-like fluidity and intent. Li's most notable contribution, "Research on Humanoid Movements of a 7-DOF Manipulator for Planar Grasping" (2022), investigates how seven degree-of-freedom anthropomorphic manipulators can replicate natural human grasping behaviors, directly improving the efficiency and intuitiveness of human-robot collaboration. Building on this foundation, Li's 2023 work introduces a hierarchical motion planning algorithm for anthropomorphic arms, offering a practical and accessible framework for generating human-like movement through carefully defined trigger conditions based on end-effector positioning. With a combined citation count reflecting early but growing recognition within the robotics community, Li represents a promising voice in the development of more natural, responsive robotic systems. Their research has meaningful implications for assistive robotics, collaborative manufacturing, and any domain where seamless human-machine interaction is paramount.
Research Focus
Key Achievements
Top Papers
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- 2