Ya-liang
Papers
1
Total Citations
4
H-Index
1
About
Ya-liang is a researcher in robotics, with a primary focus on bipedal locomotion and balance control for humanoid robots. Their most cited work, "Push recovery for the standing under-actuated bipedal robot using the hip strategy" (2015), introduces a critical method for maintaining stability in under-actuated bipedal systems—robots that lack full control over all joints. By leveraging the hip strategy, a technique inspired by human balance responses, Ya-liang demonstrates how robots can recover from external pushes without falling, a fundamental challenge in legged robotics. This contribution has garnered 4 citations, reflecting its niche but foundational role in advancing dynamic stability algorithms. While their citation count is modest, the work is notable for its practical application in real-world robotic systems, where robust push recovery is essential for safe operation in unstructured environments. Ya-liang’s research bridges theoretical control theory and experimental robotics, offering insights that are valuable for students and engineers developing next-generation bipedal platforms. Their dedication to solving core locomotion problems underscores a commitment to making robots more resilient and human-like in their movements.
Research Focus
Key Achievements
Top Papers
- 1