Yunpeng Yin
Papers
7
Total Citations
79
H-Index
5
About
Yunpeng Yin is a leading researcher in legged robotics, with a primary focus on hexapod and novel skiing robots. His work centers on terrain classification, adaptive locomotion, and gait optimization, enabling robots to navigate complex and unstructured environments. Yin’s major contributions include developing the “Smart Gait” framework, which optimizes swing leg trajectories for hexapod robots, and pioneering the design of six-legged skating and skiing robots—a novel class of nonholonomic systems that mimic human motion on ice and snow. His most cited paper, “Terrain classification and adaptive locomotion for a hexapod robot Qingzhui” (2021, 34 citations), established a foundation for real-time ground property detection and stability control. Yin has also advanced foothold optimization for walking on complex terrain (2023, 19 citations) and obstacle avoidance strategies for skiing robots in unknown snow environments (2024). With over 79 total citations across his top works, Yin’s research bridges perception, control, and mechanical design, offering practical solutions for outdoor robotic mobility. His innovative skiing robot designs, which integrate passive wheels and ice skates, represent a significant leap in bio-inspired locomotion, earning recognition for their potential in search-and-rescue and planetary exploration.
Research Focus
Key Achievements
Top Papers
- 1Terrain classification and adaptive locomotion for a hexapod robot Qingzhui34 citations · 2021
- 2Footholds optimization for legged robots walking on complex terrain19 citations · 2023
- 3Smart Gait: A Gait Optimization Framework for Hexapod Robots8 citations · 2024
- 4Obstacle Avoidance and Terrain Identification for a Hexapod Robot7 citations · 2020
- 5Design and Control of a Novel Six-Legged Skating Robot With Skateboards6 citations · 2023
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