Papers
3
Total Citations
42
H-Index
3
About
Soo-Yol Ok is a pioneering researcher in the field of evolutionary robotics and biomechanical engineering, with a primary focus on bipedal locomotion. His work explores how genetic programming and evolutionary algorithms can generate human-like walking patterns by optimizing neural oscillators and central pattern generators (CPGs) with sensory feedback. Ok's major contributions include demonstrating that computational evolution can effectively produce coordinated, stable bipedal motion—a problem of deep interest to robotics, neurophysiology, and rehabilitation engineering. His most cited paper, "Evolving bipedal locomotion with genetic programming - a preliminary report" (2002, 19 citations), laid the groundwork for this approach, followed by "Evolutionary generation of human-like bipedal locomotion" (2003, 15 citations) and "Evolution of the CPG with Sensory Feedback for Bipedal Locomotion" (2005, 8 citations). While his citation counts are modest, his work represents foundational steps in applying evolutionary computation to motor control, influencing later advances in adaptive robotics and prosthetics. Ok's research bridges biology and engineering, offering insights into how animals and machines alike achieve graceful, efficient walking.
Research Focus
Key Achievements
Top Papers
- 1Evolving bipedal locomotion with genetic programming - a preliminary report19 citations · 2002
- 2Evolutionary generation of human-like bipedal locomotion15 citations · 2003
- 3Evolution of the CPG with Sensory Feedback for Bipedal Locomotion8 citations · 2005