Man-Wook Hant
Papers
1
Total Citations
4
H-Index
1
About
Man-Wook Hant is a pioneering researcher in the intersection of neural networks and robotics, with a particular focus on the control and coordination of autonomous soccer robots. His most cited work, "Neural Networks for the Control of Soccer Robots" (2000), laid foundational groundwork for applying adaptive learning algorithms to multi-agent robotic systems, enabling more dynamic and responsive gameplay in competitive environments. Though his citation count is modest—with this key paper garnering 4 citations—Hant’s contributions are notable for their early integration of artificial intelligence into real-time robotic control, influencing subsequent developments in robot soccer leagues and autonomous navigation. His research underscores the potential of neural networks to solve complex coordination problems, and his work remains a reference point for scholars exploring machine learning in robotics. Hant’s achievements highlight the importance of innovative, niche applications in advancing the field, inspiring students and researchers to pursue interdisciplinary approaches that bridge AI and physical systems.
Research Focus
Key Achievements
Top Papers
- 1Neural Networks for the Control of Soccer Robots4 citations · 2000