arXiv (All)
open access
3PoinTr: From Human Videos to Robot Policies with 3D Point-Track Plans
Human videos could reduce the reliance on expensive robot demonstrations, but extracting task-relevant features remains challenging. We introduce 3PoinTr, a method that provides robot policies with a global 3D point-track plan predicted from human videos. Given an initial point cloud, 3PoinTr predic
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- World2Motion: Turning Video World Models into 3D Human Motion Generators#1132205
- Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model#1070555
- MoVT: Video-Augmented Motion Tokenizer for Text-to-Motion Generation#1084869
- GeomVLA: Unifying Scene, Motion, and Action in 3D#1011225
- VidAct: Learning Manipulation from In-the-Wild Videos with Object-Centric 3D Awareness#1132071
Record · ID 1036644
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive