Juyong Park

Samsung (South Korea), Korea Maritime and Ocean University

Papers

Total Citations

H-Index

About

Juyong Park is a robotics and optimization researcher whose work focuses on applying convex optimization and genetic algorithms to industrial and humanoid robotics. His most influential contribution, "Convex Optimization Algorithms for Active Balancing of Humanoid Robots" (2007, 53 citations), demonstrates that active balancing in legged robots can be formulated as a second-order cone programming (SOCP) problem—a convex optimization framework that enables efficient, numerically robust solutions. This work provides a generalizable approach to robot stability, making it a foundational reference for researchers in humanoid locomotion and control. Park also addresses practical manufacturing challenges: in shipbuilding, he applied genetic algorithms to optimize robot welding sequences, minimizing work time by coordinating welding, gantry movement, and robot teaching. Additionally, he developed a 3-D simulator for automating H-beam cutting in ocean plant structures, reducing manual labor and costs. While his citation counts reflect a focused, application-driven career, his SOCP balancing framework stands out as a notable achievement with lasting impact on legged robotics. Park’s research bridges theoretical optimization with real-world industrial automation, offering valuable insights for students and engineers in robotics and manufacturing.