Dam Khac Nhan

Electric Power University

Papers

2

Total Citations

9

H-Index

2

About

Dam Khac Nhan is a robotics researcher specializing in mobile robot dynamics, localization, and sensor fusion. His work focuses on improving the accuracy and reliability of autonomous navigation for differential-driven robots, particularly in real-world environments where friction and sensor noise pose significant challenges. In his 2023 study on dynamic simulation, Nhan modeled the complex interactions between wheel traction and road surfaces, achieving 5 citations for advancing realistic robot motion prediction. His 2024 paper on autonomous localization further demonstrates his expertise, where he fused IMU and encoder data using a Kalman filter to enhance position estimation—a technique critical for robust robot navigation without GPS. With these contributions, Nhan addresses fundamental problems in mobile robotics, bridging simulation and practical deployment. His research holds promise for applications in warehouse automation, search-and-rescue, and autonomous vehicles, where precise motion control and localization are essential.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Simulation of Differential-Driven Mobile Robot Taking into Account the Friction Between the Wheel and the Road Surface
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Electric Power University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago