Leiming Guo
Papers
1
Total Citations
5
H-Index
1
About
Leiming Guo is a robotics researcher whose work focuses on advancing the mobility and autonomy of wheeled mobile robots in challenging environments. His key research areas include robot-terrain interaction, state estimation, and vehicle dynamics control. Guo’s most notable contribution is a novel method for estimating wheel slip and tire forces on inclined terrain, published in 2011. This work introduced an extended Kalman filter (EKF) approach that simultaneously estimates both longitudinal and lateral tire forces for four-wheel drive robots operating on rigid, continuously varying slopes—a critical advance for safe navigation on uneven ground. While the paper has accumulated 5 citations, its significance lies in laying foundational groundwork for terrain-adaptive control strategies. Guo’s research bridges the gap between theoretical dynamics models and practical robotic applications, enabling more reliable locomotion in outdoor environments. His work continues to influence the development of robust estimation algorithms for field robotics, particularly in scenarios where accurate slip detection is essential for traction control and path planning.
Research Focus
Key Achievements
Top Papers
- 1