arXiv (All)
open access
HarnessPAI: An Evolving Harness for Physical AI
Physical AI aims to build embodied agents that perceive the world, understand and reason about it, and decide how to act. Yet the field has focused primarily on the last component: the action model that maps observations to low-level controls. The prevailing training recipe can erode the perceptual
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
- Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses#141551
- Physical artificial intelligence (PAI): the next-generation artificial intelligence#490897
- LiteEvo: Automated, Cost-Efficient Harness Evolution for Generalization to Unseen Tasks#1117858
- Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable#412818
- Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable#370397
Record · ID 1077095
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