Jae-Oh Byun

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About

Jae-Oh Byun is a robotics researcher whose work centers on legged locomotion, motion planning, and bio-inspired robotic systems. His research has made meaningful contributions to the field of quadruped robotics, particularly in addressing one of its most practical challenges: navigating complex terrain such as staircases. Byun's most recognized work focuses on developing efficient stair locomotion strategies for quadruped robots with insectile leg mechanisms. His 2015 study applying Genetic Algorithms (GA) to optimize landing points and gait trajectories — garnering 4 citations — demonstrated how evolutionary computation can be harnessed to minimize travel distance while maximizing energy stability margin, a critical metric for safe and reliable robot movement. A companion study from the same year, with 2 citations, complemented this by introducing collision-free trajectory generation using sinusoidal waveforms, grounded in both algebraic forward kinematics and geometric inverse kinematics modeling. Together, these contributions reflect Byun's systematic approach to bridging theoretical modeling with practical simulation validation, advancing the reliability of quadruped robots in real-world environments. His work offers a strong foundation for researchers exploring autonomous mobile robotics, adaptive gait planning, and intelligent control systems in unstructured terrain.