arXiv (All)
open access
Are Frontier VLM Agents Ready to Be Robot Generalists? An Empirical Study with the Embodied Agent Arena
Frontier vision-language models (VLMs) combine scene estimation, interaction grounding, and executable actions. Understanding how these abilities support complete robotic tasks is central to evaluating their readiness as robot generalists. We introduce Embodied Agent Arena to examine where local com
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
- GeoAgent: Evaluating VLM Geolocalization Through Embodied Navigation#794264
- GeoAgent: Evaluating VLM Geolocalization Through Embodied Navigation#790245
- Refusals That Bend: Measuring and Predicting Task Malleability in Embodied VLM Planners#1143938
- Refusals That Bend: Measuring and Predicting Task Malleability in Embodied VLM Planners#1136783
- GIFT: Goal-Injected Fine-Tuning for Efficient Manipulation Policy Adaptation#975075
Record · ID 1155789
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