Papers
10
Total Citations
51
H-Index
4
About
Haihui Yuan is a leading researcher in robotics and advanced manufacturing, whose work bridges the gap between theoretical dynamics and real-world robotic applications. His primary research areas include bipedal locomotion, compliant robotic systems, and generative design for additive manufacturing. Yuan’s major contributions lie in developing novel control strategies for underactuated bipedal robots, enabling stable gait transitions and spring-like walking through innovative leg configurations and hybrid control methods. His work on integrating kinematic and dynamic factors into generative design has produced high-performance structures for additive manufacturing, with his most cited paper (2025) already garnering 13 citations. Notably, Yuan has advanced the field of compliant robotics by designing energy-efficient, impact-resistant systems, and has extended his expertise to human-robot collaboration through wearable exoskeletons and teleoperation control. His research on visual localization combining points and lines in 3D LiDAR maps further demonstrates his versatility. With over 50 citations across his top papers, Yuan’s work is shaping the future of agile, adaptive robots and smart manufacturing, offering practical solutions for liberating humans from heavy labor while enhancing robotic autonomy and safety.
Research Focus
Key Achievements
Top Papers
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- 7Visual Localization in a Prior 3D LiDAR Map Combining Points and Lines3 citations · 2021
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