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Zetta ζ: An Efficient Closed-Loop Embodied Harness for Self-Evolving Physical Intelligence

142 upvotes · 17 AUG 2026 · Xin Ding, Liang Mi, Mingzhe Huang et al.

This paper introduces Zetta, a system that enables embodied agents to learn and adapt in real-time while executing physical tasks, allowing for more efficient and effective learning. Practitioners in robotics and AI may care about Zetta's approach as it could lead to more reliable and scalable physical intelligence.

embodied agentsclosed-loop learningphysical intelligencereinforcement learningrobotics