Ying Hai Wang

Suzhou Industrial Park Vocational Technical College

Papers

Total Citations

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About

Ying Hai Wang is a robotics and control systems researcher whose work bridges practical motor control and autonomous navigation. His most impactful contribution is the development of a servo motor control system capable of auto-detecting different motor types—specifically DC brushed and DC three-phase brushless motors—a critical innovation for complex robotic systems. This work, which has garnered 43 citations, addresses a key challenge in robotics by enabling seamless integration of mixed motor types without requiring specialized commercial chipsets. Wang is also recognized for his significant contributions to micromouse robotics, a competitive field focused on autonomous maze-solving. His studies on the flood-fill algorithm, cited a combined 9 times, demonstrate how small, autonomous robots can efficiently navigate unknown 16x16 mazes by combining center-rule and straight-right-rule search strategies to find optimal paths. These contributions highlight Wang’s expertise in both hardware-level motor control and algorithmic pathfinding, making his work valuable for students and researchers developing autonomous robotic systems. His research continues to influence the design of efficient, self-detecting motor controllers and intelligent navigation algorithms.