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About

Chi-Cuong Tran is a robotics researcher specializing in intelligent robot programming, trajectory planning, and robotic machining on complex curved surfaces. His work addresses some of the most persistent challenges in industrial automation, particularly the time-intensive nature of robot programming and the difficulty of maintaining precise tool orientation during machining operations. Tran's most impactful contribution, "An Intelligent Path Planning of Welding Robot Based on Multisensor Interaction" (2023, 45 citations), demonstrates his ability to bridge artificial intelligence and practical manufacturing needs by developing smarter, more adaptive programming approaches for welding robots. Complementing this, his research into real-time pose correction using 6-axis force/torque sensors has garnered significant attention, with his 2022 study accumulating 17 citations for tackling the intricate challenge of dynamically adjusting robot end-effector position and orientation on curved surfaces. More recently, Tran has advanced non-contact robot pose estimation and point cloud-based surface normal generation, further reducing reliance on manual intervention in robotic machining workflows. With a growing body of work spanning sensor integration, compliance control, and intelligent path planning, his research is making robotic manufacturing more autonomous, flexible, and deployable across real-world industrial environments.