arXiv CS
open access
STARS: From Spatiotemporal Dynamics to Social Representations in Human-Robot Interaction
Robot navigation in dynamic, human-centered environments requires socially-compliant decisions grounded in robust scene understanding. Recent Vision-Language Models (VLMs) exhibit promising capabilities such as object recognition, common-sense reasoning, and contextual understanding, capabilities th
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
- STARS: From Spatiotemporal Dynamics to Social Representations in Human-Robot Interaction#1155306
- GeoAgent: Evaluating VLM Geolocalization Through Embodied Navigation#794264
- GeoAgent: Evaluating VLM Geolocalization Through Embodied Navigation#790245
- StarVLA-$α$: Reducing Complexity in Vision-Language-Action Systems#1013549
- Observing and Controlling Features in Vision-Language-Action Models#1050828
Record · ID 1136819
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