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Robot overcomes uncertainty to retrieve buried objects

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June 29, 2022, 4 a.m. | Adam Zewe | MIT News Office

MIT News - Machine learning news.mit.edu

This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.

algorithms computer vision machine learning media lab mit schwarzman college of computing national science foundation (nsf) objects research robot robotics robots school of architecture and planning school of engineering uncertainty

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