Chew Xiao Lin
Papers
1
Total Citations
2
H-Index
1
About
Chew Xiao Lin is a researcher whose work lies at the intersection of humanoid robotics and biomechanical modeling, with a particular focus on the analysis and replication of human motion. Her key research area centers on developing simplified yet accurate computational models for complex human movements, most notably the sit-to-stand (STS) motion. Her major contribution is the pioneering feasibility study that demonstrated how a telescopic inverted pendulum model can effectively represent a three-link robotic system for STS motion on the sagittal plane. This work is significant because it offers a computationally efficient alternative to the traditionally complex three-link inverse kinematic and dynamic models, reducing the high computational requirements while maintaining predictive accuracy. Although her most-cited paper currently holds 2 citations, its conceptual importance lies in providing a foundational framework for simplifying humanoid motion planning. Chew’s research is particularly valuable for advancing humanoid robotics, rehabilitation engineering, and assistive device design, where efficient and accurate motion prediction is critical. Her work represents a thoughtful step toward making humanoid robots more agile and responsive in performing everyday human tasks.
Research Focus
Key Achievements
Top Papers
- 1