Nhat Nguyen Minh
Papers
3
Total Citations
21
H-Index
2
About
Nhat Nguyen Minh is a robotics researcher specializing in safety-critical control for human-robot collaboration and autonomous navigation. His work focuses on developing rigorous mathematical frameworks that guarantee safe robot behavior during physical interaction with humans and in dynamic environments. Minh’s most influential paper, “Adaptive Admittance Control for Safety-Critical Physical Human Robot Collaboration” (2023, 15 citations), introduces a novel control framework that enforces strict position-based safety constraints during physical human-robot interaction, addressing a fundamental challenge in collaborative robotics. He further advances this line of research by integrating Control Barrier Functions (CBF) with Nonlinear Model Predictive Control (NMPC) to enhance mobile robot navigation safety and efficiency in dynamic environments (2022, 4 citations). Minh has also pioneered the combination of reinforcement learning with CBF for robotic manipulators (2022, 2 citations), demonstrating how learning-based methods can enhance traditional safety guarantees. His work represents a significant step toward making robots that can safely share workspaces with humans, with applications spanning manufacturing, healthcare, and service robotics. Minh’s research is particularly notable for its practical approach to theoretical safety guarantees.
Research Focus
Key Achievements
Top Papers
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