Kui Hong Park
Papers
2
Total Citations
10
H-Index
2
About
Kui Hong Park is a robotics researcher whose work focuses on the stabilization and balance control of bipedal and humanoid robots. His key research areas include reinforcement learning for robotic control and sensor-based balance maintenance. Park’s most significant contribution is the development of "two mode Q-learning," an innovative extension of standard Q-learning that leverages both success and failure experiences to achieve faster convergence. He demonstrated this method’s effectiveness by stabilizing the Zero Moment Point (ZMP) of a biped robot in a standing posture, a foundational challenge in legged locomotion. His 2004 paper on this topic has garnered 7 citations, marking his most influential work. Additionally, Park explored practical balance control using an inclinometer, enabling the Griffith University Humanoid Robot (GHR) to maintain equilibrium on a moving miniature surfboard. This 2005 study, with 3 citations, showcases his ability to apply theoretical control methods to real-world dynamic environments. Park’s research, conducted at the Robotics and Games laboratory at Griffith University, provides valuable insights into adaptive learning and sensor integration for stable robot locomotion.
Research Focus
Key Achievements
Top Papers
- 1Stabilization of Biped Robot based on Two mode Q-learning7 citations · 2004
- 2Balance control of a humanoid robot using the inclinometer3 citations · 2005