Max Robotics — Global Service Robot Directory + US Certification

About

Seong-Ryong Chang is a robotics researcher specializing in path planning and trajectory optimization for mobile robots and aerial vehicles. His work focuses on achieving curvature-continuous (G²) smooth paths that enable stable, natural motion—critical for systems where momentum and kinematic constraints affect performance. Chang’s most influential paper, “Curvature-Continuous 3D Path-Planning Using QPMI Method” (2015, 13 citations), addresses the challenge of enabling aerial robots to fly with continuous, stable movements by eliminating abrupt velocity changes. He further advanced smooth path generation using cubic polynomial interpolation with membership functions (2015, 5 citations), improving obstacle avoidance and movement efficiency. His earlier work on fuzzy interpolation for multi-joint animation robots (2007, 3 citations) explored natural motion tracking, while his trajectory planning for waypoint tracking (2015, 2 citations) introduced robust, smooth navigation under kinematic constraints. With a career spanning from 2007 to 2015, Chang’s contributions are foundational for autonomous systems requiring high-continuity paths, impacting fields from aerial robotics to mobile robot navigation. His methods remain relevant for researchers seeking to balance computational efficiency with motion smoothness in real-world applications.