arXiv (All)
open access
ManiUnit: A Manipulation Skill Dataset and Benchmark for Long-Horizon Tasks
Long-horizon mobile manipulation requires a robot to navigate multi-room environments and execute a sequence of manipulation skills under a single natural language instruction. Learning and evaluating these skills present three challenges: similar observations under a fixed task instruction may make
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
- Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control#1069860
- MAVP: Map-Aware Visuomotor Policies for Mobile Manipulation#1062274
- MAVP: Map-Aware Visuomotor Policies for Mobile Manipulation#1043115
- ViLoMan: Learning Visual-Proprioceptive Whole-Body Loco-Manipulation Skills for Humanoid Robots#1013937
- What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents#973213
Record · ID 1249513
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