Max Robotics — Global Service Robot Directory + US Certification

About

Sang‐Bum Park is a robotics and computer vision researcher whose work focuses on enabling robots to perceive and interact with their environments through advanced visual sensing and control. His primary research areas include biped robot balance control, 3D pose estimation, and industrial robot vision systems. Park’s most notable contributions involve developing innovative algorithms that allow robots to maintain stability using camera-based feedback—such as his 2009 paper on balance control of a biped robot using a reference object image (13 citations) and his work on fuzzy controller-based balance using 3D images (9 citations). He also made significant advances in industrial automation with his ellipse fitting and Kalman estimator algorithm for pose estimation of stacked elliptical objects (3 citations) and his virtual plane algorithm for measuring the 3D pose of large objects using CAD data (2 citations). These contributions demonstrate Park’s ability to bridge theoretical vision algorithms with practical robotic applications, particularly in manufacturing and automation settings. His work on real-time pose estimation and balance control has provided foundational techniques for robots operating in dynamic, unstructured environments, making him a respected figure in the field of robot vision and control systems.