Yanming Pei
Papers
4
Total Citations
17
H-Index
3
About
Yanming Pei is a robotics researcher whose work focuses on improving the accuracy and adaptability of mobile robot navigation through advanced odometry calibration and environmental sensing. His primary research areas include odometry modeling, floor surface classification, and sensor calibration for wheeled mobile robots. Pei’s major contributions lie in developing novel methods to enhance robot localization by accounting for variations in floor surfaces and robot dynamics. His most cited work (7 citations) introduces a system that uses motor current and accelerometer measurements to classify floor types, enabling independent odometry calibration for each surface—a practical solution that significantly improves motion control accuracy. In another influential paper (5 citations), he proposed a novel odometry model incorporating linear acceleration, addressing fundamental challenges in simultaneous localization and mapping (SLAM) for differential-drive robots with pneumatic tires. Pei also developed an online calibration method using floor color sensors (3 citations) and an offline optimization technique for simultaneous calibration of odometry and sensor extrinsic parameters (2 citations). His work bridges the gap between theoretical calibration models and real-world deployment, offering practical solutions for robots operating in diverse indoor environments.
Research Focus
Key Achievements
Top Papers
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