Cross-Embodiment Transfer via Behavior-Aligned Representations
Recent progress in large-scale imitation learning for robot manipulation has been driven by leveraging datasets across a wide range of robot embodiments. However, achieving significant cross-embodiment transfer is often still challenging. In this work, we study the role of using behavior-aligned representations (e.g., object bounding boxes, language motions, end-effector traces of robot motion) in vision-language-action (VLA) models to promote cross-embodiment transfer. We hypothesize that by po
Record details
Published: 30 July 2026
Source: arXiv cs.LG
Category: Research
Topics: Agents & autonomy
Retrieved: 31 July 2026
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ethics.ai (30 July 2026), “Cross-Embodiment Transfer via Behavior-Aligned Representations,” evidence record 15262, https://ethics.ai/record/15262 (originally published by arXiv cs.LG).
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