arXiv (All)
open access
PolyUMI: Accessible Visual-Tactile-Audio Data Collection for Object Inference and Manipulation
Humans typically rely on vision, touch, hearing, and proprioception to perceive contact and adapt their actions during manipulation. Providing robots with comparable responsiveness therefore requires hardware that can retain and use these complementary sensory signals. Most imitation-learning system
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
- Towards VLA-Dreamer: Refining VLA Behavior Using World Models#1105871
- Talk robot: Specular gesture of the robots of Enchanted Tools#288012
- ForceDelta-VLA: Distilling Force-Conditioned ActionCorrections for Contact-Rich Manipulation#1012441
- CometVLA: Co-Training on an Embodied Data Pyramid towards Physical Understanding#799503
- CometVLA: Co-Training on an Embodied Data Pyramid towards Physical Understanding#798080
Record · ID 1077687
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