arXiv (All)
open access
EmbodiedDiffusion: End-to-End Traversability-Guided Visual Diffusion for Heterogeneous Robot Navigation
Visual traversability estimation is central to autonomous navigation, yet most approaches either rely on prompt-driven Vision-Language Model (VLM) or decouple traversability from trajectory planning, requiring separate planners with heavy mapping, manual tuning, and extended deployment time. We prop
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
- NaviScale: Generating Large-Scale Semantic Map Datasets for Object Navigation#1063429
- SGE: Semantically-Guided Exploration for Unstructured Environments via Image-Space Waypoint Sampling#794117
- SGE: Semantically-Guided Exploration for Unstructured Environments via Image-Space Waypoint Sampling#790098
- Scope-WM: Scoped Computation for Efficient Visual World Models#1117930
- S2Planner: Multi-Scale Semantic Planner for End-to-End Autonomous Driving#1077740
Record · ID 1048529
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