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About

Seong-Ho Kang is a robotics researcher whose work centers on precision calibration, modular actuation, and autonomous mobile robot localization. His most significant contribution is a kinematic model and metrology system for modular robot calibration, which enables "as built" accuracy by measuring each module's parameters—a critical advance for reconfigurable manufacturing systems. This foundational paper has garnered 18 citations, establishing his expertise in robot metrology. Kang also developed an iGPS 3D probe for precision TCP measurement, addressing industry demands for intelligent, integrated calibration solutions that eliminate tedious manual teaching. In mobile robotics, he proposed a modified Kalman filter enhanced by neural networks to prevent position estimation divergence caused by noise covariance—a practical improvement for autonomous navigation. Earlier work includes designing standard modular actuator testbeds and characterizing next-generation actuators, contributing to the development of open-architecture reconfigurable machinery. His research bridges theoretical modeling with real-world industrial application, particularly in robot calibration and actuator reliability testing.