Papers
7
Total Citations
37
H-Index
3
About
Cong Yan’s research centers on the design, modeling, and control of novel legged and sliding robots, with a particular emphasis on underactuated and bio-inspired locomotion. His major contributions lie in demonstrating how tensegrity structures and passive dynamics can generate versatile, energy-efficient gaits—such as walking, skipping, and crawling—that adapt to environmental conditions. Yan’s work on the tensegrity-based legged robot (2025, 9 citations) shows how autonomous gait selection can minimize stress and enhance stability, while his foundational paper on tensegrity robots for passive dynamic walking (2021, 13 citations) introduced a planar robot that walks cyclically downhill, with gait versatility strengthened by cable actuation. He has also advanced bipedal locomotion through entrainment-based control (2021, 5 citations) and low-speed limit cycle walking of X-shaped bipedal robots (2023, 3 citations), as well as novel wheel gaits (2024, 3 citations) and arc-shaped sliding robots with wobbling masses (2023, 2 citations). Yan’s work bridges theoretical modeling and experimental feasibility, offering new pathways for efficient, adaptive robotic locomotion.
Research Focus
Key Achievements
Top Papers
- 1Modeling and Analysis of Tensegrity Robot for Passive Dynamic Walking13 citations · 2021
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- 3Entrainment-Based Control for Underactuated Compass- Like Biped Robot5 citations · 2021
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- 7Analysis of Passive Dynamic Gait of Tensegrity Robot2 citations · 2021