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About

Woraphrut Kornmaneesang is a robotics and control systems researcher whose work centers on advanced motion control, robotic machining, and precision manufacturing. His most significant contributions lie in contouring control — the challenge of minimizing path-tracking errors in robot manipulators performing machining tasks — an area where traditional industrial robots have historically underperformed dedicated CNC machines. His 2020 paper on Model Predictive Control (MPC)-based robust contouring, which has garnered 22 citations, established a rigorous framework for improving machining accuracy under real-world disturbances. Building on this, his 2021 work on dual-arm robotic manufacturing systems (18 citations) introduced an innovative architecture combining automation and machining capabilities within a single five-degree-of-freedom dual-arm platform. Kornmaneesang has also made notable strides in parameter identification, proposing efficient frameworks for estimating both linear and nonlinear dynamic robot parameters — critical for advanced controller design. His more recent research extends into thin-walled milling stability analysis and neural network-based force estimation, reflecting a broadening research agenda at the intersection of robotics, dynamics, and intelligent manufacturing. With over 50 cumulative citations, his work continues to inform precision robotic applications in automotive and aerospace industries.