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About

Nicholas M. DiFilippo is a robotics and biomedical engineering researcher whose work spans two compelling domains: intelligent robotic disassembly systems and soft robotics for medical applications. His most recognized contributions lie in developing automated systems capable of dismantling electronic waste, particularly laptops, through sophisticated integration of computer vision and force sensing. His 2017 paper on automated screw removal (56 citations) and subsequent work applying the Soar cognitive architecture to multi-model laptop disassembly (23 citations) established him as a pioneer in e-waste automation — a field with significant environmental and economic implications. Complementing this, his deep learning research on fastener detection (45 citations) further advances the practical deployment of vision-guided robotic disassembly in real-world settings. Beyond robotics, DiFilippo has made a notable foray into medical device innovation, co-developing a soft robot designed to navigate the peripheral lung for cancer diagnosis and therapy (52 citations), addressing a critical limitation in bronchoscopic biopsy procedures. This cross-disciplinary range — from recycling automation to life-saving medical tools — reflects a researcher driven by tangible societal impact. With over 180 cumulative citations, DiFilippo's work continues to shape both sustainable manufacturing and minimally invasive medical technologies.