Electronic waste (e-waste) is a growing global challenge as the number of electronic devices continues to increase while their service lifespans decline. Despite the growing need for sustainable recycling and reuse, efficient methods for automated, non-destructive e-waste disassembly remain limited. Our initial work in this area focused on the design and characterization of a prototype […]
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This project developed a novel robotic system designed to automate the initial mating of nuts on threaded studs by integrating convolutional neural networks, image processing, and force sensing. The YOLO architecture was employed to develop a convolutional neural network (CNN) to identify studs and studs with threaded nuts. Visual servoing that combines CNN with traditional […]
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XY positioning systems are widely used in industry to position a part or a tool within a two dimensional rectangular area. These systems are typically used for cutting, welding, marking or for pick-and-place applications. Current implementations of XY positioning systems typically consist of two linear guides, each with their own independent timing belts or ball/lead […]
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The project, funded by a Rhode Island Innovation Voucher Grant from RI Commerce, focused on developing a semi-automated system to create corner bricks formed by joining two individual bricks. The corner bricks are used for exterior corners of buildings and window trims, and are made from two flat bricks cut at 45° angles such that […]
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