Tong Yan

Beijing Academy of Artificial Intelligence

Papers

2

Total Citations

6

H-Index

2

About

Tong Yan is a researcher in the field of robotics, with a focus on bio-inspired design and mechanical systems for legged and continuum robots. Their work bridges the gap between biological principles and robotic functionality, particularly in challenging environments. Yan’s most cited paper, “Design and Modeling of a Cable-driven Continuum Robot Considering Large Load” (2023, 3 citations), addresses a critical limitation of continuum robots—their inability to bear heavy loads. By proposing a novel cable-driven design, Yan enables these flexible robots to perform bending tasks under substantial weight, opening applications in bionic spines and quadruped robot tails. Another key contribution, “Research on Bionic Foot Design and Climbing Strategy of Quadruped Robot” (2021, 3 citations), tackles the challenge of steep slope climbing. Inspired by goat hoofs, Yan developed a bionic foot structure and a foot-to-ground coupling model, paired with a lateral sloping strategy, to enhance quadruped robot mobility on large inclines. Though early in their career, Yan’s work demonstrates a clear impact on advancing robot versatility and load-bearing capacity, with potential for future breakthroughs in field robotics and bionic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Design and Modeling of a Cable-driven Continuum Robot Considering Large Load
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Beijing Academy of Artificial Intelligence

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago