Liming Cai

Chinese Academy of Sciences

Papers

2

Total Citations

14

H-Index

2

About

Liming Cai is a robotics researcher whose work focuses on intelligent automation and sensor-based systems for mobile and parking robots. His key research areas include autonomous docking, vehicle pose estimation, and human-robot interaction in constrained environments. In his most cited work, "A Sectional Auto-docking Charging Control Method for the Mobile Robot" (2019, 11 citations), Cai introduced a novel three-stage docking approach—wall following, coarse positioning, and accurate positioning—using infrared and ultrasonic sensors. This method significantly improves the reliability of autonomous recharging for mobile robots, a critical challenge in long-term deployment. In a subsequent study, "Vehicle Pose Estimation System Base on Pressure Sensor Array for Clamping Parking Robot" (2021, 3 citations), he proposed a cost-effective alternative to expensive laser scanners by using pressure sensor arrays to accurately detect vehicle parameters for clamping parking robots. This work addresses the practical need for affordable yet precise sensing in automated parking systems. Cai’s contributions demonstrate a commitment to bridging sensor affordability with robust robotic functionality, making his research valuable for both academic study and real-world automation applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A Sectional Auto-docking Charging Control Method for the Mobile Robot
11 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Chinese Academy of Sciences

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago