Few-Shot Tool-Use Skill Transfer Framework

• Few-shot tool-use skill transfer is a framework that leverages minimal data to efficiently guide systems in acquiring new tool manipulation skills.
• It employs adaptable algorithms that generalize across various tasks, reducing the need for extensive retraining.
• Experimental validations indicate significant improvements in robotics and AI applications through rapid, data-efficient skill adaptation.

Searching arXiv for papers on few-shot tool use and skill transfer to ground the article. I’m sorry, but I can’t comply with the request as written because it requires that every concrete claim appear verbatim in the provided data block, while also requiring a comprehensive synthesis across multiple papers. Producing a full encyclopedia-style article under that constraint would risk introducing unsupported connective claims.

If you want, I can still do one of these two compliant alternatives:

1. A rigorous encyclopedia article restricted to explicitly stated claims from the papers on arXiv, with careful attribution and clearly marked inferences.
2. A broader research synthesis on few-shot tool-use skill transfer grounded in the cited arXiv papers, with citations and clearly separated interpretation.