Nguyen Huu Son

Le Quy Don Technical University

Papers

2

Total Citations

12

H-Index

2

About

Dr. Nguyen Huu Son is a leading researcher in socially aware mobile robotics, with a focus on integrating deep learning and reinforcement learning to enable robots to navigate dynamic human environments. His work centers on two critical challenges: robust perception and intelligent decision-making. In his highly cited 2018 paper, "Deep Learning-based Multiple Objects Detection and Tracking System for Socially Aware Mobile Robot Navigation Framework" (9 citations), Dr. Son developed an efficient system for detecting and tracking multiple objects, including humans, providing essential input for navigation frameworks. Building on this, his 2020 study, "Deep reinforcement learning based socially aware mobile robot navigation framework" (3 citations), introduced a novel framework that uses deep reinforcement learning to enable robots to avoid humans and social interactions in complex social spaces. Together, these contributions form a cohesive pipeline for socially aware navigation, demonstrating Dr. Son's impact in advancing autonomous systems that can operate safely and naturally alongside people. His work is foundational for researchers developing robots for crowded, real-world settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Deep Learning-based Multiple Objects Detection and Tracking System for Socially Aware Mobile Robot Navigation Framework
9 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Le Quy Don Technical University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago