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About

Yujin Wang’s research bridges the gap between mechanical ingenuity and human-robot interaction, with a focus on novel locomotion systems and socially aware robotics. Her foundational work on rolling robots, particularly the "Dynamics of a rolling robot of closed five-arc-shaped-bar linkage" (41 citations) and "Trajectory planning of a rolling robot of closed five-bow-shaped-bar linkage" (22 citations), introduced innovative closed-chain mechanisms that enable efficient, terrain-adaptive rolling motion—a departure from traditional wheeled or legged designs. Earlier, her "Gait analysis and implementation of a simple quadruped robot" (8 citations) provided practical insights into biological gait patterns for rough-terrain mobility, emphasizing the trade-offs between stability and versatility. More recently, Wang has pioneered interpretable machine learning approaches to social robotics. Her work on "recognizing the intensity of human engagement intention" (7 citations) and a "two states fusion fuzzy inference system" (5 citations) enables robots to discern subtle human cues in multi-person interactions, advancing natural human-robot collaboration. With over 80 total citations, Wang’s contributions span from mechanical design to cognitive robotics, positioning her as a versatile researcher shaping both the hardware and software of next-generation autonomous systems.