Linh Le
Papers
2
Total Citations
15
H-Index
2
About
Linh Le is a robotics and control systems researcher whose work centers on the development of intelligent adaptive control strategies for autonomous mobile systems. Specializing in nonholonomic wheeled mobile robots (WMRs), Le has made meaningful contributions to solving one of the field's most persistent challenges: achieving reliable trajectory tracking in the presence of real-world uncertainties such as unknown wheel slips, unmodeled dynamics, and external disturbances. Le's most recognized contribution is the design of a neural network-based adaptive tracking controller employing a three-layer architecture with an online weight tuning algorithm, enabling robots to adapt in real time to unpredictable operating conditions without requiring complete system knowledge. This 2018 publication has garnered 13 citations, reflecting growing interest from the robotics control community. An earlier 2017 conference version of this work laid the foundational groundwork, applying Lagrange formulations to jointly model robot kinematics and dynamics under slip conditions. By integrating neural network intelligence with classical control theory, Le's research advances the practical deployment of mobile robots in unstructured environments — a capability increasingly critical for applications in autonomous navigation, industrial automation, and service robotics. Le's growing body of work positions them as an emerging contributor to intelligent robotic systems research.
Research Focus
Key Achievements
Top Papers
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