Ngoc-Linh Tao

Hanoi University of Science and Technology

Papers

Total Citations

H-Index

About

Ngoc-Linh Tao is a rising researcher in robotics and control systems, with a focus on solving real-world challenges in mobile robot stability and industrial automation. Their work centers on two key areas: optimizing control parameters for inherently unstable systems, and designing specialized robots for hazardous environments. Tao's most cited paper (2024, 8 citations) tackles the critical problem of stabilizing two-wheeled balancing mobile robots (2WBMRs) by integrating Hierarchical Sliding Mode Control with the Firefly Algorithm—a bio-inspired optimization method. This work demonstrates how nature-inspired algorithms can dramatically improve robot performance, offering a practical solution for applications ranging from personal transport to warehouse logistics. In another notable contribution (2021, 3 citations), Tao designed and fabricated a wall-climbing robot that uses vacuum principles to clean silo surfaces—addressing a dangerous task that typically requires human workers at heights. This project showcases Tao's commitment to developing robots that enhance workplace safety. While still early in their career, Tao's research bridges theoretical control theory with tangible robotic applications, making their work valuable for students and engineers interested in the intersection of optimization algorithms, sliding mode control, and practical robot design.