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Pages tagged cross-embodiment
**[Read on arXiv](https://arxiv.org/abs/2503.19757)** Dita introduces a scalable framework that leverages full Transformer architectures to directly denoise continuous action sequences through a unified multimodal diffu…
📄 **[Read on arXiv](https://arxiv.org/abs/2409.20537)** HPT tackles the fundamental challenge of building generalist robot representations that work across heterogeneous embodiments with different sensor configurations,…
📄 **[Read on arXiv](https://arxiv.org/abs/2405.12213)** Octo is a transformer-based generalist robot policy trained on 800,000 robot trajectories from the Open X-Embodiment dataset, spanning 25 diverse datasets and mult…
Stream-specific open questions for foundation models, scaling, and cross-embodiment transfer. See wiki/queries/open-questions for the full tree across all streams. 1. **Compute-optimal scaling for embodied AI:** Kaplan…
📄 **[Read on arXiv](https://arxiv.org/abs/2408.11812)** CrossFormer addresses a fundamental limitation in robot learning: the requirement for specialized policies for each robotic platform. Traditional approaches train…
**[Read on arXiv](https://arxiv.org/abs/2505.05753)** This paper investigates whether increasing robot diversity during training improves generalization to unseen robots, analogous to how data scaling improves language…
**[Read on arXiv](https://arxiv.org/abs/2501.10105)** UniAct addresses a critical challenge in embodied AI: robot action data suffers from severe heterogeneity across platforms, control interfaces, and physical embodime…