Papers
3
Total Citations
152
H-Index
3
About
Wentao Mao is a researcher whose work bridges intelligent manufacturing and humanoid robotics. His primary research areas include vibration-based prognostic health management for industrial systems and push recovery strategies for humanoid robots. Mao’s most significant contribution is a novel prognostic scheme for gear health management in intelligent manufacturing systems, which tracks surface wear progression to prevent failures—a critical advancement for Industry 4.0. This work has garnered 136 citations, underscoring its relevance to predictive maintenance and smart factory applications. In humanoid robotics, Mao explored push recovery, a challenging problem due to the high-dimensional, nonlinear, and hybrid dynamics of bipedal locomotion. His 2009 studies on continuous recovery steps and strategies for unknown input forces, though less cited, laid foundational insights into stabilizing robots under unexpected disturbances, addressing a key hurdle in achieving human-like agility. Mao’s dual focus on industrial prognostics and robotic locomotion demonstrates a versatile approach to complex systems, making his contributions valuable for both manufacturing efficiency and autonomous robot resilience.
Research Focus
Key Achievements
Top Papers
- 1
- 2Continuous steps toward humanoid push recovery11 citations · 2009
- 3Humanoid push recovery strategy for unknown input forces5 citations · 2009