Papers
10
Total Citations
150
H-Index
7
About
Yixu Wang is a robotics researcher specializing in the dynamics, control, and autonomous navigation of spherical robots — a particularly challenging class of nonlinear, nonholonomic systems. His work has made substantial contributions to solving some of the most persistent problems in this domain, including direction control, trajectory tracking, and velocity regulation across multiple terrain types. Wang's most influential contributions include the development of a Hierarchical Terminal Sliding Mode Controller (HTSMC) combined with Model Predictive Control (MPC) for spherical robot guidance (37 citations), and an adaptive multi-terrain velocity control framework that dynamically identifies and compensates for system uncertainties (33 citations). These works address fundamental limitations of single-controller approaches when robots operate in unpredictable real-world environments. His fuzzy PID controller for yaw angle prediction (24 citations) further demonstrated his versatility across classical and intelligent control paradigms. Beyond spherical robotics, Wang has contributed to autonomous robot path planning through a robust reference path selection method (18 citations) and lightweight MPC-based local planners optimized for embedded platforms. With over 150 cumulative citations and publications spanning 2021 to 2025, Wang represents an emerging voice in adaptive robotic control, offering both theoretical rigor and experimental validation across his body of work.
Research Focus
Key Achievements
Top Papers
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- 3Fuzzy PID Controller Based on Yaw Angle Prediction of a Spherical Robot24 citations · 2021
- 4A Robust Reference Path Selection Method for Path Planning Algorithm18 citations · 2022
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