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About

Thejus Pathmakumar is a robotics researcher whose work sits at the dynamic intersection of reconfigurable robotics, autonomous systems, and artificial intelligence. Best known for pioneering shape-shifting robotic platforms, his most celebrated contribution is the hTetro robot — a Tetris-inspired, reconfigurable floor cleaning system grounded in polyomino tiling theory — which, along with related work on floor cleaning mechanisms, has collectively garnered over 200 citations. His research extends well beyond floor cleaning: he has designed multi-modal robots capable of rolling, crawling, and wall-climbing for urban reconnaissance, developed nested reconfigurable systems for hazardous glass façade cleaning, and engineered staircase-cleaning robots that address a persistent gap in commercial automation. A hallmark of Pathmakumar's work is his ability to bridge abstract mathematical theory — particularly tiling and hinged dissection principles — with practical robotic engineering challenges. More recently, he has expanded into deep learning applications, applying convolutional neural networks to pavement inspection and autonomous cleanliness auditing, and leveraging AI-driven drone platforms for mosquito surveillance and public health monitoring. With a growing citation record exceeding 400 citations, his research offers students and engineers a compelling model of how theoretical elegance and real-world utility can be seamlessly unified in intelligent robotics.