Lyuyan Wang

Beijing Institute of Technology

Papers

1

Total Citations

3

H-Index

1

About

Lyuyan Wang is a robotics researcher whose work centers on the locomotion and stability control of legged robots, with a particular focus on quadruped platforms navigating complex terrains. Their key contribution lies in developing a multi-scene stability control system that leverages inertial measurement units (IMUs) to enhance motion stability and attitude controllability. In their most-cited work, Wang derived inverse kinematic formulas for joint angles and integrated IMU feedback to enable real-time self-stabilization and adaptive gait planning, addressing critical challenges in dynamic, uneven environments. While their citation count is currently modest, this foundational research represents an important step toward practical, robust quadruped robots capable of operating in unstructured settings—a key goal in field robotics and autonomous systems. Wang’s work is particularly relevant for students and researchers interested in the intersection of sensor fusion, control theory, and bio-inspired robot design, offering a clear methodology for achieving reliable locomotion without expensive external tracking systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Research on the Self-Stability Control and Gait Planning of Quadruped Robot Based on IMU
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago