Ting-Hao Wang
Papers
3
Total Citations
66
H-Index
3
About
Ting-Hao Wang is a robotics researcher specializing in leg-wheel transformable robots, with a focus on dynamic locomotion, autonomous navigation, and terrain adaptation. His major contributions include the development of a novel leg-wheel module capable of rapid transformation and leaping, which enables robots to seamlessly switch between wheeled and legged modes for enhanced mobility across diverse environments. Wang’s work on reduced-order models allows these robots to intelligently select the most efficient gait—whether rolling or stepping—based on real-time environmental data, such as RGB-Depth information. His research has garnered over 66 citations, with his most cited paper (41 citations) highlighting the transformative potential of his leg-wheel design. Notably, his 2021 study on motion selection strategies demonstrates a model-based methodology that empowers robots to autonomously decide their mode of locomotion, improving energy efficiency and obstacle negotiation. Wang’s achievements include the development of the TurboQuad-V platform, which integrates terrain classification, navigation, and gait selection, showcasing practical applications in search-and-rescue or exploration missions. His work bridges mechanical design and intelligent control, offering impactful solutions for adaptive robotics.
Research Focus
Key Achievements
Top Papers
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