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

3
H-Index
3
Papers
42
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Evolving bipedal locomotion with genetic programming - a preliminary report
19 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Tsukuba, Kyoto Seika University, Tongmyong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago