Papers

2

Total Citations

47

H-Index

1

About

Tengfei Yuan is a rising robotics and structural dynamics researcher whose work bridges smart materials and deployable aerospace systems. His key research areas include bio-inspired robotics, adaptive adhesives, and computational mechanics for variable-length structures. Yuan’s most notable contribution is the development of an electrically active smart adhesive for perching-and-takeoff robots, enabling dynamic perching on moving targets—a breakthrough that addresses long-endurance challenges in aerial robotics. This work, published in 2023, has already garnered 46 citations for its innovative solution to autonomous landing impact and contact adaptability. In parallel, Yuan is advancing computational efficiency for deployable space structures through model order reduction techniques for variable-length beams. His 2025 paper introduces a novel approach using Arbitrary Lagrangian–Eulerian descriptions to overcome computational bottlenecks in time-varying multibody systems, achieving significant speedups while maintaining accuracy. Though early in its citation lifecycle, this work promises to accelerate simulations for applications like satellite solar arrays and robotic manipulators. Yuan’s dual focus on practical robotic adhesion and theoretical structural dynamics positions him as a versatile engineer tackling both immediate robotic challenges and foundational simulation problems.

Research Focus

Key Achievements

1
H-Index
2
Papers
47
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Electrically active smart adhesive for a perching-and-takeoff robot
46 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Xi'an Jiaotong University, Harbin Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago