arXiv (All)
open access
Fetch My Beer: Synthetic-to-real Hierarchical Policy for Smooth Pick-and-place
Many real-world robotic applications require dynamically sensitive manipulation, where success depends not only on reaching a target state but on maintaining stable object dynamics throughout execution. We study the stable transport of liquid-filled containers, where a robot must move objects to tar
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
- SAIL: Test-Time Scaling for In-Context Imitation Learning with VLM#1036643
- Mind the matter: Active matter, soft robotics, and the making of bio-inspired artificial intelligence#725734
- Wrench-ACT: Enhancing Robot Policies for Contact Rich Behavior Using Direct Wrench Control#1141871
- RoboFin3D: A Sim-to-Real Platform for Robotic Surface Finishing#1141879
- Zeva: In-Context Causal Learning for Generalizable Embodied Manipulation#818919
Record · ID 1011817
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