This is the best summary I could come up with:

The sudden onslaught of humanoid robotics firms like Agility, Figure, 1X and Apptronik has played a pivotal role in that conversation.

For now, Covariant’s software is largely deployed on industrial robotic arms doing a variety of familiar warehouse tasks, including jobs like bin picking.

As long as there are minimal changes to the task at hand, a robot arm can do its work over and over again, unimpeded, until it’s time to call it a day and collect the golden pocket watch for its years of loyal service.

If you want to avoid this, one of two things needs to happen: 1) People working on the floor need to learn code or 2) You need a new, more natural method for interacting with the robot.

From the customer’s point of view, the platform presents as a text field, much like the current iteration of consumer-facing generative AI.

Input a text command like, “pick up the apple” by typing or voice, and the system uses its training data (shape, color, size, etc.)

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