"There’s been a lot of work in the field to make robots understand language, where you go from language to a simplified, high-level abstraction to robot actions. But the problem is that symbolic representation, or the list of things a robot can do, is very limited. Basically, robots can’t do very much. So even though we have large language models and large vision models that are very powerful, using them to make robots do a lot of different things is still an unsolved problem."
Stefanie Tellex, Associate Professor of Computer Science at Brown University, is one of 12 visiting fellows at the Institute. Learn about her work connecting language to robotic capabilities, her path to becoming a professor and working at the AI Institute, and where she hopes the field will go in the next five to ten years — https://lnkd.in/ey_5StKN
Senior Computer Vision Engineer | Large-scale Multi-Model Scene Understanding.
5moIt would have been so awesome to have some of these opportunities in the UK 🇬🇧.