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About

Dr. Alan Putranto is a leading researcher in bioinspired robotics and intelligent infrastructure inspection, whose work bridges mechanical design, embedded intelligence, and disaster resilience. His most impactful contribution is the development of a high-mobility inchworm climbing robot for steel bridge inspection (46 citations), which introduced a novel locomotion mechanism capable of navigating complex ferromagnetic surfaces. He extended this concept with a multispecies hybrid climbing robot for wall tile inspection (23 citations), demonstrating how biological principles can be adapted for diverse substrates. A hallmark of his recent work is the integration of tiny machine learning into climbing robots, enabling real-time multi-object bolt-defect detection (21 citations)—a breakthrough that brings edge intelligence directly onto moving platforms. Dr. Putranto has also pioneered the fusion of robotics with earthquake early warning systems (19 citations) for automated inspection and emergency response, and has advanced digital twin-enabled robotics for smart tag deployment in confined spaces (6 citations). With over 115 total citations and a rapidly growing portfolio, his research is shaping the future of autonomous infrastructure monitoring, particularly for post-disaster assessment and preventive maintenance in hard-to-reach environments.