Wei Xin Tan
Papers
1
Total Citations
8
H-Index
1
About
Wei Xin Tan is a robotics researcher whose work centers on legged locomotion, particularly the development of stable, energy-efficient gaits for multi-limbed robots. His most cited paper, "Crawling gait generation method for four-limbed robot based on normalized energy stability margin" (2017, 8 citations), introduces a novel approach to generating crawling motions by leveraging the Normalized Energy Stability Margin (NESM). This method enables a robot to maintain stability while its legs and torso alternately contact the ground, a critical capability for navigating challenging terrains where falling is a constant risk. Tan’s contribution lies in formalizing a gait that balances stability and energy efficiency, directly addressing a fundamental challenge in field robotics: how to move reliably when near the limits of balance. While his citation count reflects a focused, early-career impact, his work on NESM-based control has practical implications for rescue and exploration robots that must operate in unstable environments. Tan’s research bridges theoretical stability metrics with real-world robotic motion, offering a foundation for future work in adaptive, low-energy locomotion.
Research Focus
Key Achievements
Top Papers
- 1