arXiv (All)
open access
Sequential Planning via Anchored Robotic Keypoints
Changes in a robot's observations do not automatically imply changes in the task it is solving, but language-conditioned manipulation systems often fail to separate the two. If an object moves, for example, the locations at which actions should be executed may change while the underlying manipulatio
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
- SAVLA: Symmetry-Aware Vision-Language-Action Models for Robotic Manipulation#1122655
- SERF: Spatiotemporal Environment and Robot Feature Map for Long-Horizon Mobile Manipulation#1327421
- PACE: Stage-Consistent Long-Horizon Robot Manipulation via Progress-Aligned Context for Execution#1217652
- MIND: Instruction-Conditioned Incremental Grounding for Robots#1345085
- An Empirical Study on What Matters for Viewpoint-Generalizable Policies in Visual Imitation Learning#1117093
Record · ID 1341458
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