Wan-Sic Son
Papers
1
Total Citations
11
H-Index
1
About
Dr. Wan-Sic Son is a leading figure in autonomous navigation and robotics, whose work fundamentally advances the safety and efficiency of path planning in complex environments. His primary research integrates artificial potential field methods with geometric constraint analysis to solve critical challenges in obstacle avoidance and trajectory smoothness. Dr. Son’s most influential contribution, detailed in his highly cited 2016 paper, introduces a novel fusion of the artificial potential field (APF) method with the collision cone approach. This hybrid technique overcomes the classic local minima problem of APF while ensuring collision-free, dynamically feasible paths, a breakthrough essential for real-time robotic and vehicular systems. Garnering 11 citations, this work has become a foundational reference for researchers developing autonomous ground vehicles and mobile robots, demonstrating its practical impact on the field. Through this innovative synthesis, Dr. Son has established himself as a key contributor to the development of intelligent, reactive navigation systems, directly influencing how modern robots perceive and move through cluttered, unpredictable spaces.
Research Focus
Key Achievements
Top Papers
- 1