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AI CURATED HOT STORY · 11/14/2026

OpenAI Reorganizes Robotics Team to Bet on General Models

3 reports archived3 independent sourcesupdated 11/14/2026, 19:40:51
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OpenAI has confirmed the dissolution of its standalone robotics team, merging researchers into the core research group led by Chief Research Officer Mark Chen, while the hardware team moves to Greg Brockman's applications division. The company stated the reorganization aims to accelerate R&D rather than exit robotics, betting that general-purpose multimodal models like GPT-6 Astra can directly handle some robotic tasks and eventually replace specialized robot models.

Multiple sources confirm the abruptness: the team was disbanded during the CoRL conference in Austin, just five months after CEO Sam Altman publicly solicited hires in May, leaving a pre-booked booth empty. An NVIDIA study shows Astra-powered agents achieved a 74.8% success rate in simulated manipulation tests, versus 51.0% for specialized models, though inference speed, cloud dependency, and on-site data accumulation remain bottlenecks.

This marks a major strategic shift toward general models driving robotics, potentially reshaping the embodied AI landscape. If general models can effectively serve as robot brains, it could lower development barriers, accelerate commercialization of general-purpose robots, and pose a challenge to specialized robotics AI companies.

LATEST/OpenAI's robotics team was abruptly disbanded about five months after formation, with researchers folded into Mark Chen's core research team and hardware operations taken over by Greg Brockman. The company says the move aims to accelerate general-model-driven robotics R&D, not to exit the field.

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Coverage timeline

Total 3 reports · Latest first
  1. IT之家 · 智能时代T2·78 pts
    • OpenAI dissolved its standalone robotics unit, moving researchers under CRO Mark Chen and hardware into Greg Brockman's applications division
    • OpenAI says general models like GPT-6 Astra already handle some robotic tasks, aiming to replace robotics-specific models
    • Nvidia research shows Astra agents at 74.8% success on simulated manipulation versus 51.0% for specialized models, with speed and cloud dependency still limiting