Engineering household robots to have a little common sense
With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.
With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.
With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.
The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.
A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.