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Nvidia robots learn grasping tasks via AI coding agents

Nvidia researchers, in collaboration with Carnegie Mellon University and UC Berkeley, have developed a method for robots to train themselves using AI coding agents. This approach has enabled a fleet of eight robots to achieve a 99% success rate in complex grasping tasks in real-world environments. AI

IMPACT This research demonstrates a new method for AI-driven robotic training, potentially accelerating the development of autonomous systems in real-world applications.

RANK_REASON The cluster describes research from academic institutions and a major tech company on a novel AI application for robotics. [lever_c_demoted from research: ic=1 ai=1.0]

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Nvidia robots learn grasping tasks via AI coding agents

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  1. The Decoder TIER_1 English(EN) · Maximilian Schreiner ·

    Nvidia research shows robots that train themselves through AI coding agents

    <p><img alt="" class="attachment-full size-full wp-post-image" height="768" src="https://the-decoder.com/wp-content/uploads/2026/06/Nvidia-ENPIRE-title.png" style="height: auto; margin-bottom: 10px;" width="1376" /></p> <p> Researchers from Nvidia, Carnegie Mellon University, and…