Chin Yun Soh
Papers
1
Total Citations
14
H-Index
1
About
Dr. Chin Yun Soh is a leading figure in the intersection of robotics and machine learning, with a primary focus on developing intelligent control systems for autonomous mobile robots. Her seminal work, "Utilization of Webots and Khepera II as a platform for Neural Q-Learning controllers" (2009), has garnered 14 citations and established a foundational methodology for integrating reinforcement learning with physical robotic platforms. By demonstrating how neural Q-learning could be effectively deployed on the popular Khepera II robot via the Webots simulation environment, Dr. Soh provided researchers and students with a practical, reproducible framework for bridging the gap between simulated and real-world robotic learning. This contribution has been instrumental in advancing adaptive control strategies, enabling robots to learn optimal behaviors through trial and error rather than explicit programming. Her work continues to influence contemporary research in autonomous navigation and sensor-based decision-making, making her a key reference for those exploring the synergy between neural networks and reinforcement learning in embodied systems.
Research Focus
Key Achievements
Top Papers
- 1