arXiv (All)
open access
JAMB: Joint Action-Motion Diffusion for Bimanual Manipulation
Coordinated bimanual manipulation is challenging because the motion of either arm can alter the shared 3D scene and thereby affect the other arm. Yet most diffusion policies generate actions without explicitly modeling these future geometric consequences, while predictive variants typically use futu
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
- See Selectively, Act Adaptively: Dual-Level Structural Decomposition for Bimanual Robot Manipulation#1048697
- QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation#134584
- SAVLA: Symmetry-Aware Vision-Language-Action Models for Robotic Manipulation#1122655
- Keep the Future, Drop the Rollout: RIFT for World Action Models#1105138
- Spatial Temporal Synergy: Balancing Change and Invariance in Text Driven 3D Human Motion Editing#617682
Record · ID 1051815
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