Research Online
metadata only
Multimodal scene understanding for mobile robot navigation in unstructured outdoor environments
The application of autonomous field robots in agriculture, mining, transport and logistics, disaster management, and exploration has increased with advances in sensing, perception, and autonomous navigation technologies. Western Australian off-road environments present challenges for autonomous grou
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
- From Language to Navigation Goals: A Vision-Language Approach for Semantic Navigation of Mobile Robots Using RGB-D Perception#370382
- Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Fourth BARN Challenge at ICRA 2025#173984
- From 3D Reconstruction to Spatial Intelligence: Bridging Vision Foundation Models with the 3D World#1203235
- Challenges and solutions for autonomous ground robot scene understanding and navigation in unstructured outdoor environments: A review#1391877
- ExcavaTwin: Training-Free Geometry-Guided Semantic Elevation Mapping for Autonomous Excavation#1128977
Record · ID 1391878
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