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About

Antony Tran’s research lies at the intersection of robotics, sensing, and human-robot collaboration, with a focus on solving real-world industrial and infrastructure challenges. His most cited work, “Stereo Vision Combined With Laser Profiling for Mapping of Pipeline Internal Defects” (77 citations), addresses the critical deterioration of underground potable water pipes by developing a non-destructive inspection method that combines stereo vision and laser profiling to detect corrosion and prevent costly failures. Tran also pioneered the ANBOT system (19 citations), an intelligent robotic co-worker designed to assist human operators in industrial abrasive blasting, reducing physical strain while enhancing safety and productivity. His earlier work on assistive robotics includes the “Smart Hoist” (18 citations), a robot aimed at aiding carers in transferring non-ambulatory patients, and studies on human grip strength in physical human-robot interaction (7 citations), which inform safer collaborative designs. Tran’s contributions extend to construction robotics, where he evaluated high-detail 3D sensing for autonomous operation in challenging environments, and to wastewater pipe condition assessment using advanced robotic sensing. His work demonstrates a consistent commitment to developing practical, collaborative robotic systems that improve infrastructure maintenance, industrial safety, and caregiving, with a growing citation impact that underscores their relevance to both academia and industry.