Liming Wang
Papers
2
Total Citations
11
H-Index
2
About
Liming Wang is an emerging researcher specializing in autonomous robotics, intelligent control systems, and terrain-adaptive locomotion for ground-based robotic platforms. His work sits at the intersection of unmanned systems engineering and advanced control theory, with a particular focus on enabling robust operation in complex, unstructured environments. Wang's most notable contribution to date is his investigation into road recognition and stability control for unmanned ground vehicles (UGVs), a study with significant implications for intelligent transportation, precision agriculture, and military applications. This work, which has garnered 8 citations since its 2023 publication, addresses the critical challenge of reliable UGV navigation across unpredictable terrain. Building on this foundation, his 2025 research introduces a force–position hybrid control framework for quadruped robots leveraging Model Predictive Control (MPC), advancing the field's understanding of stability and environmental adaptability beyond the limitations of traditional control approaches. Though early in his career, Wang's research program demonstrates a cohesive vision: bridging perception, control theory, and real-world robustness for next-generation autonomous ground systems. Students and engineers working in legged robotics, autonomous vehicles, or field robotics will find his contributions a valuable reference as the discipline continues to mature rapidly.
Research Focus
Key Achievements
Top Papers
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- 2