Co-Evolving Robot Orchestrators and Policies through Deployment
- 类型：arxiv
- 标识：2610.09228
- 链接：https://arxiv.org/abs/2610.09228
- 主分类：multimodal
- 形态：application
- TLDR：Vision-language-action (VLA) policies trained on large datasets are capable within their training domains, yet they still fail to generalize to the variety of situations a robot meets in real-world deployment. Agentic robot systems complement the policy with a vision-language model (VLM) orchestrator that learns when to call the policy, how to instruct it, and when to use scripted skills instead. However, because the harness is built around a frozen policy that has limited language steerability, the orchestrator can avoid the policy's failures but never overcome them. The policy becomes the bo
- 副分类：engineering
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-10-08-agent-rag-longcontext-candidates.json