agent/papers/items/2026-2606-31200-agentic-rag-vlm-affordance-aware-retrieval-augmented-generation-with-self-reflec.md

Paper: Agentic RAG-VLM: Affordance-Aware Retrieval-Augmented Generation with Self-Reflective Planning for Robotic Grasping

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type: paper title: "Agentic RAG-VLM: Affordance-Aware Retrieval-Augmented Generation with Self-Reflective Planning for Robotic Grasping" authors: Tao Chen, Lizheng Liu, Jiaxu Wang, Ziyue Jiang, Ruiqi Tian, JiGuang Huo, Zhongxue Gan year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.31200 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-30 updated_at: 2026-06-30 status: queued relevance: high topics:

• agent-evaluation
• embodied-agent
• planning
• rag
• reasoning methods:

benchmarks:

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• cs.AI related_concepts:

related_jobs:

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related_projects:

collection_score: 16 collection_queries: rag-agent

One-line Takeaway

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

Why Collected

• matched queries: rag-agent
• inferred topics: agent-evaluation, embodied-agent, planning, rag, reasoning
• arXiv categories: cs.AI
• collection score: 16

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/2606.31200