John N. Randall

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About

John N. Randall is a pioneering researcher at the intersection of micro-robotics, advanced manufacturing, and machine learning. His work centers on developing novel methods for micro-assembly and atomic-scale fabrication, with a particular focus on diamagnetically levitated milli-robots. In his highly cited 2017 paper (34 citations), Randall demonstrated the first automated 2D micro-assembly of 10-μm polymer microspheres and silicon parts using these levitated robots, achieving precise manipulation through optical microscope feedback at 27 Hz. He extended this capability in 2018 (28 citations) to enable heterogeneous 3D assembly, opening new pathways for constructing complex micro-devices. More recently, Randall has been at the forefront of integrating deep learning with electron and scanning probe microscopy (2022, 32 citations), showing how AI can accelerate everything from materials design to atomic fabrication. His work has profound implications for semiconductor manufacturing, micro-optics, and nanofabrication, bridging the gap between robotic manipulation and atomic precision. With over 100 total citations across his key papers, Randall is recognized as a leader in automated micro-assembly and intelligent microscopy, pushing the boundaries of what is possible at the micro- and nano-scale.