Once calibrated correctly, the robot can learn to do various tasks more efficiently, like autonomously sorting blocks by color.
Now, Optimus can self-calibrate its arms and legs using only vision and joint position encoding that allows it to precisely locate its limbs in space. Once calibrated correctly, the robot can learn to do various tasks more efficiently, like autonomously sorting blocks by color, as well as repositioning them correctly if they’re not placed upright on the trays.
Furthermore, after a human intervenes and moves some of the blocks, the bot can adapt and reposition the items as it was trained to do. says in the video that the machine’s neural net runs entirely on-board, using only vision, with the description saying that the neural network is trained fully end-to-end with video-in, and controls-out.It’s a similar approach to what the company has tried to do with the so-called Full Self-Driving feature in its lineup of passenger cars. Back in May, CEO Elon Musk said in a comment on X that, from images-in to steering-, brakes-, and acceleration-out.
Besides showing the robot’s ability to learn various simple and repetitive tasks, the update video also gives us a glimpse into Optimus’ balancing prowess, including stretching on a single foot “after a long day of work” and greeting enthusiasts with a faceless “Namaste.”, memorize environments, and pick up things, as well as drop them off.
When it was first announced in 2021 during the firm’s AI Day event, Optimus was touted as a machine designed to do dangerous, repetitive, or boring work that people don’t like to do. Back then, the tech details revealed the humanoid bot would measure 5’8” tall, weigh 125 pounds, and have a 5-miles-per-hour top speed, so that “you can run away from it and most likely overpower it,” as Musk said.
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