Embodied Science: Closing the Discovery Loop with Agentic Embodied AI
Artificial intelligence has demonstrated remarkable capability in predicting scientific properties, yet scientific discovery remains an inherently physical, long-horizon pursuit governed by experimental cycles. Most current computational approaches are misaligned with this reality, framing discovery as isolated, task-specific predictions rather than continuous interaction with the physical world. Here, we argue for embodied science, a paradigm that reframes scientific discovery as a closed loop
Record details
Published: 20 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (20 March 2026), “Embodied Science: Closing the Discovery Loop with Agentic Embodied AI,” evidence record 6962, https://ethics.ai/record/6962 (originally published by arXiv).
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