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Researchers at CMU combined two vision foundational models—models trained on large visual data sets—to help a robot arm recognize the shape and the type of fruit and vegetable slices.
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Modern robots know how to sense their environment and respond to language, but what they don’t know is often more important than what they do know. Teaching robots to ask for help is key to making them safer and more efficient.
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Latest Posts
Researchers at CMU combined two vision foundational models—models trained on large visual data sets—to help a robot arm recognize the shape and the type of fruit and vegetable slices.
3 minutes read
Modern robots know how to sense their environment and respond to language, but what they don’t know is often more important than what they do know. Teaching robots to ask for help is key to making them safer and more efficient.
5 minutes read
In this episode, we discuss a GPT style AI model being developed by a multidisciplinary team led by the University of Michigan to tackle the battery development bottleneck preventing wide scale adoption of electric vehicles.
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A research team from EPFL and Wageningen University has developed a new artificial intelligence model that recognises floating plastics much more accurately in satellite images than before. This could help to systematically remove plastic litter from the oceans with ships.
The customer, an automotive manufacturer, needed an automation solution for the palletization and depalletization of large ABS parts. They decided on a solution where one vision-guided robot operates both processes.
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Artificial intelligence methods show researchers the way to improved manufacturing processes for highly efficient solar cells - a blueprint for other research fields
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