[A version of this piece first appeared in TechCrunch’s robotics newsletter, Actuator. Subscribe here.]
Earlier this month, Google’s DeepMind team debuted Open X-Embodiment, a database of robotics functionality created in collaboration with 33 research institutes. The researchers involved compared the system to ImageNet, the landmark database founded in 2009 that is now home to more than 14 million images.
“Just as ImageNet propelled computer vision research, we believe Open X-Embodiment can do the same to advance robotics,” researchers Quan Vuong and Pannag Sanketi noted at the time. “Building a dataset of diverse robot demonstrations is the key step to training a …
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