Weihao Liang

Northwestern Polytechnical University

Papers

1

Total Citations

5

H-Index

1

About

Weihao Liang is a researcher in robotics and intelligent control, with a primary focus on bipedal locomotion and fuzzy logic systems. His most cited work introduces a novel fuzzy omni-directional gait planning algorithm (FOGPA) for biped robots, addressing critical challenges such as complex modeling and low stability. By proposing a separated omni-directional gait planning model that integrates straight and turning motions, Liang’s approach enhances robotic adaptability and balance control. This paper, published in 2016, has garnered 5 citations, reflecting its foundational role in advancing gait planning methodologies. Liang’s contributions lie at the intersection of fuzzy control theory and robotics, offering practical solutions for real-world biped robot navigation. His work is notable for simplifying complex gait dynamics while improving stability, making it a valuable reference for researchers in humanoid robotics and autonomous systems. Through this research, Liang demonstrates a commitment to developing efficient, intelligent algorithms that push the boundaries of robotic mobility.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A novel fuzzy omni-directional gait planning algorithm for biped robot
5 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Northwestern Polytechnical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago