Soon Chan Hong

Ajou University

Papers

1

Total Citations

40

H-Index

1

About

Soon Chan Hong has made significant contributions to the field of autonomous robotics, with a particular focus on intelligent navigation and obstacle avoidance systems. His most cited work, "Path planning of mobile robot using neural network" (2003), has garnered 40 citations and established a foundational approach for integrating neural network pattern recognition into mobile robot path planning. In this influential paper, Hong developed an effective method that enables autonomous mobile robots to simultaneously achieve obstacle avoidance and target tracking in indoor environments, employing a wall-following algorithm powered by neural network pattern recognition. This work has proven valuable for researchers and engineers working on real-time navigation systems for service robots and autonomous vehicles. Hong's research sits at the intersection of neural networks, robotics, and control systems, demonstrating how machine learning techniques can enhance robotic autonomy in complex, dynamic environments. His contributions continue to influence subsequent work in intelligent robotics, particularly in developing more adaptive and reliable navigation strategies for mobile platforms operating in constrained indoor spaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
40
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Path planning of mobile robot using neural network
40 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Ajou University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago