Google’s robot is getting smarter.
For years, researchers have tried to imbue robots with better inference to troubleshoot how to exist in a real-life environment.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.
Previously, teaching a robot took a long time. Researchers had to individually program directions. But with the power of VLA models like RT-2, robots can access a larger set of information to infer what to do next. Google’s first foray into smarter robots started last year when it announced it would use its LLM PaLM in robotics, creating the awkwardly named PaLM-SayCan system to integrate LLM with physical robotics.a live demo of the robot and reported it incorrectly identified soda flavors and misidentified fruit as the color white.
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