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Robotics & Physical AI3 min read

OpenAI says it will build a humanoid robot, demo planned for 2027

OpenAI announced that it will build a humanoid robot, with CEO Sam Altman saying the company “will” do it. He told Fortune that he thinks a “cool demo” will be ready in 2027, but does not expect robots walking the streets for a few years longer. The robot’s physical form is still undefined and no consumer price or release date has been disclosed.

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Key points

  • OpenAI CEO Sam Altman confirmed the company will build a humanoid robot and aims for a demo in 2027.
  • The focus is on developing the robot's "brain"—perception, planning, and control—rather than the physical form.
  • OpenAI lists 27 robotics job openings covering actuators, motion control, state estimation, and manufacturing.

Altman emphasized that the real challenge is the robot’s “brain” – perception, instruction interpretation, motion planning and real‑time correction. OpenAI is already hiring for robotics roles covering motion control, state estimation, actuator design and the machine‑learning infrastructure needed to train physical AI systems. The effort builds on the company’s Dactyl research, which taught a simulated hand to manipulate objects and later solved a Rubik’s Cube.

The plan is not to place a ChatGPT‑powered roommate in every home immediately. Short‑term, OpenAI aims to create general‑purpose robots that assist skilled workers on infrastructure projects; long‑term, it envisions a personal robot for a broader set of tasks. Its careers page lists 27 open robotics positions.

Full story from engadget.com · by Husain Parvez · via Search: OpenAIOpen source ↗

OpenAI is building a humanoid robot, but the body isn't the real challenge

engadget.com · 17 October 2026

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This text was published by engadget.com and written by Husain Parvez. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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