Google training robots ever since they rumored to have acquired Boston Robotics. Google’s new robots don’t need complex instructions now that they can access large language models. Google is trying to make its robots smarter with the release of the AI learning model Robotic Transformer (RT-2).
Researchers tested RT-2 with a robotic arm in a kitchen office setting, asking its robotic arm to decide what makes a good improvised hammer (it was a rock) and to choose a drink to give an exhausted person (a Red Bull). They also told the robot to move a Coke can to a picture of Taylor Swift. The robot is a Swiftie, and that is good news for humanity.
The new model trained on web and robotics data, leveraging research advances in large language models like Google’s own Bard and combining it with robotic data (like which joints to move), the company said in a paper. It also understands directions in languages other than English.
For years, researchers have tried to imbue robots with better inference to troubleshoot how to exist in a real-life environment. The Verge’s James Vincent pointed out real life is uncompromisingly messy. Robots need more instruction just to do something simple for humans. For example, cleaning up a spilled drink. Humans instinctively know what to do: pick up the glass, get something to sop up the mess, throw that out, and be careful next time.
Conclusion
Google training robots in its advancement of RT-2 robotics would pave way for future things to come. We await to see what they have to offer. Let us know what you think about this post in the comment section below.
