Jaw-Won Kho
Papers
1
Total Citations
8
H-Index
1
About
Jaw-Won Kho is a researcher in robotics and intelligent control systems, with a primary focus on bipedal locomotion and energy-efficient gait generation. His most-cited work, "Implementation of an Intelligent Controller for Biped Walking Robot using Genetic Algorithm and Learning Control" (2006, 8 citations), introduces a novel approach that combines genetic algorithms with learning control to optimize the mass distribution of a biped robot's links. By minimizing energy consumption during repetitive gait cycles, Kho’s method advances the practical design of autonomous walking robots, addressing key challenges in stability and efficiency. This contribution is notable for integrating evolutionary optimization with adaptive control, offering a pathway toward more lifelike and sustainable robotic movement. While his citation count reflects a niche but impactful body of work, Kho’s research underscores the importance of interdisciplinary techniques—merging artificial intelligence, biomechanics, and control theory—to solve complex locomotion problems. His efforts contribute to the broader goal of creating robots capable of navigating human environments, making his work relevant for students and researchers interested in intelligent robotics and energy-aware system design.
Research Focus
Key Achievements
Top Papers
- 1