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About

Kantawatchr Chaiprabha is a robotics researcher advancing the frontiers of Industry 5.0 through the integration of digital twins, collaborative automation, and intelligent control systems. His work centers on creating safer, more precise human-robot collaboration environments, with major contributions in digital twin frameworks for industrial robotics. His most cited paper, "Digital Twin for a Collaborative Painting Robot" (2022, 27 citations), demonstrates a system that simulates and estimates paint results before physical application, offering a viable alternative to human workers. He extended this concept to precision motion control in "A Deep Trajectory Controller for a Mechanical Linear Stage Using Digital Twin Concept" (2023, 12 citations), applying deep learning to enhance accuracy in electro-mechanical systems. Chaiprabha has also innovated in soft robotics with the "Electro-Actuated Stacked Fin Ray Gripper" (2024), a novel design for adaptable object handling, and in additive manufacturing with observer-based flow control for viscoelastic materials (2025). His latest work on collaborative welding robotics (2025) addresses real-world manufacturing challenges like part deformation and dimensional inconsistencies. With a growing citation record and a focus on practical, human-centric automation, Chaiprabha is shaping the next generation of intelligent, collaborative robotic systems.