agent/papers/items/2026-2604-27092-end-to-end-autonomous-scientific-discovery-on-a-real-optical-platform.md

Paper: End-to-end autonomous scientific discovery on a real optical platform

---

type: paper title: End-to-end autonomous scientific discovery on a real optical platform authors: Shuxing Yang, Fujia Chen, Rui Zhao, Junyao Wu, Yize Wang, Haiyao Luo, Ning Han, Qiaolu Chen, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2604.27092 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-04-29 updated_at: 2026-04-29 status: queued relevance: high topics:

• memory
• planning
• reasoning
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.AI
• physics.optics related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: autonomous-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: autonomous-agent-llm
• inferred topics: memory, planning, reasoning, tool-use, workflow-agent
• arXiv categories: cs.AI, physics.optics
• collection score: 13

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2604.27092