Chang Nho Cho

Korea Electrotechnology Research Institute

Papers

Total Citations

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About

Chang Nho Cho is a leading researcher in intelligent robotic systems and precision manufacturing, whose work bridges adaptive control, fault detection, and novel machining platforms. His most influential contribution, the 2018 paper "Neural Network Based Adaptive Actuator Fault Detection Algorithm for Robot Manipulators" (44 citations), introduces a groundbreaking approach that enables robot manipulators to autonomously detect and compensate for actuator faults in real time—critical for safety-critical applications in industrial automation and collaborative robotics. This work has become a foundational reference for researchers developing resilient, self-diagnosing robotic systems. In parallel, Cho has pioneered unconventional manufacturing solutions, as demonstrated in his 2015 study on a hexapod robot for machining. While conventional CNC machines achieve nanoscale precision, Cho’s team boldly focused on expanding work envelope size, proposing a walking, six-legged platform capable of performing machining operations over large, unstructured areas—a concept with profound implications for on-site construction, aerospace assembly, and shipbuilding. Though less cited, this work exemplifies his willingness to challenge dominant paradigms. Cho’s research continues to inspire advances in adaptive robotics and large-scale precision manufacturing, establishing him as a visionary in merging mobility with machining.