Linzhi Li

Hubei University of Technology

Papers

1

Total Citations

2

H-Index

1

About

Linzhi Li is a researcher in robotics, with a primary focus on legged locomotion and gait planning for quadruped robots. Their most notable contribution is a novel foot trajectory planning method based on high-degree polynomial curves, designed to enhance the stability of diagonal trot gaits. By establishing a kinematic model for parallel legs, Li’s work addresses fundamental challenges in dynamic balance and motion smoothness for quadrupedal systems. Although their most-cited paper, “Research on foot trajectory planning of quadruped robot” (2022), has garnered 2 citations, it represents a targeted step forward in improving gait performance—a critical area for applications in search-and-rescue, exploration, and industrial inspection. Li’s research bridges theoretical kinematics and practical robotic control, offering insights that could inform future advances in autonomous, terrain-adaptive locomotion. Their work is particularly relevant for students and researchers interested in the intersection of mechanical design, control theory, and bio-inspired robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Research on foot trajectory planning of quadruped robot
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Hubei University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago