---
title: "Goal-Driven Autonomous Optical Experimentation via a Self-Recursive Hardware-Software Harness"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2611.04481v1"
permalink: "https://feed.astralor.com/items/itm_5715e02edd95990b35212571"
published: "2026-11-03T08:13:30.000Z"
score: 57
channel: "finance"
tags: ["AI Agent","Goal-Driven Autonomous Optical","Experimentation","Self-Recursive Hardware-Software Harness","RayNeo","TOP","CAS140D"]
---

# Goal-Driven Autonomous Optical Experimentation via a Self-Recursive Hardware-Software Harness

## 速览

We propose goal-driven self-recursive optical research in which agents use physical evidence to revise the hardware, software, models, and protocols used to pursue a scientific goal. The framework can be instantiated wi…

## 关键点

- We propose goal-driven self-recursive optical research in which agents use physical evidence to revise the hardware, software, models, and protocols used to pursue a scientific goal.
- The framework can be instantiated with different stimulus systems and measurement devices.
- We formalize its updates and derive a relation between physical attainability, command access, and model approximation error.

## 全文

We propose goal-driven self-recursive optical research in which agents use physical evidence to revise the hardware, software, models, and protocols used to pursue a scientific goal. The framework can be instantiated with different stimulus systems and measurement devices. We formalize its updates and derive a relation between physical attainability, command access, and model approximation error. We demonstrate the concept in an optical see-through color-matching case study using an iPad, RayNeo X3 glasses, and a TOP 300 probe coupled to a CAS140D spectroradiometer, both from Instrument Systems. A revised glasses application adds USB-controlled RGB holds and frame acknowledgements, keeping model-generated colors displayed during spectral acquisition. The interface passes 12 live control checks. Spectral feedback reduces one target color difference from 19.756 to 1.211 ΔE_76^*; all five targets improve in a separate comparison. These measurements demonstrate the concept in one configuration. The resulting software and protocols remain available for subsequent investigations.

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