Octo: An open-source generalist robot policy

“Octo: An open-source generalist robot policy” (2024) has been cited 1,481 times according to Google Scholar. CitationMap has resolved 10 citing papers from institutions across 0 countries.

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Papers citing this work (10 resolved)

  1. FrameSkip: Learning from Fewer but More Informative Frames in VLA Training

  2. Test-time Sparsity for Extreme Fast Action Diffusion

  3. Guide, Think, Act: Interactive Embodied Reasoning in Vision-Language-Action Models

  4. Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models

  5. Towards Robotic Dexterous Hand Intelligence: A Survey

  6. Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models

  7. Beyond World-Frame Action Heads: Motion-Centric Action Frames for Vision-Language-Action Models

  8. Learning Action Manifold with Multi-view Latent Priors for Robotic Manipulation

  9. RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning

  10. World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications

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