Young‐Mi Jung
Papers
1
Total Citations
16
H-Index
1
About
Young-Mi Jung is a pioneering researcher in the field of robotics and artificial intelligence, with a primary focus on reinforcement learning and autonomous mobile systems. Her most-cited work, "Study on Motion Forms of a Two-dimensional Mobile Robot by Using Reinforcement Learning" (2006, 16 citations), represents a significant contribution to understanding how machines can develop unexpected, creative solutions through learning algorithms. This study demonstrated that a two-dimensional mobile robot, guided by reinforcement learning, could discover novel motion forms not explicitly programmed by its designer—a breakthrough that challenges traditional approaches to robot control and highlights the potential for emergent behaviors in autonomous systems. Jung's research underscores the power of reinforcement learning to unlock unanticipated capabilities, offering valuable insights for students and researchers exploring adaptive robotics, machine learning, and the intersection of artificial intelligence with physical systems. Her work continues to inspire investigations into how robots can learn and evolve beyond human-designed constraints.
Research Focus
Key Achievements
Top Papers
- 1