Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution
We present Eluna, a production-deployed agentic system for reliable SOP execution. Eluna is a graph-guided, multi-agent framework that encodes SOPs as directed acyclic graphs with progressive disclosure and delegates independent tasks to parallel sub-agents, each with persistent code execution and live data access. To meet production latency and accuracy needs, we use asymmetric episodic distillation where a strong teacher is improved through episodic error memories, then a smaller student is fine-tuned on the corrected trajectories with memory stripped, internalizing corrections without inference-time overhead.
- ▪We present Eluna, a production-deployed agentic system for reliable SOP execution.
- ▪Eluna is a graph-guided, multi-agent framework that encodes SOPs as directed acyclic graphs with progressive disclosure and delegates independent tasks to parallel sub-agents, each with persistent code execution and live data access.
- ▪To meet production latency and accuracy needs, we use asymmetric episodic distillation where a strong teacher is improved through episodic error memories, then a smaller student is fine-tuned on the corrected trajectories with memory stripp
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Computer Science > Machine Learning arXiv:2607.08960 (cs) [Submitted on 9 Jul 2026] Title:Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution Authors:Ning Liu, Kalle Kujanpää, Zhaoxuan Zhu, P Aditya Sreekar, Kaiwen Liu, Chuanneng Sun, Jorge Marchena Menendez, Matthew Bales, Tianyu Yang, Shahnawaz Alam, Rose Yu, Baoyuan Liu, Kristina Klinkner, Shervin Malmasi View a PDF of the paper titled Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution, by Ning Liu and 13 other authors View PDF HTML (experimental) Abstract:Warehouse operations are governed by Standard Operating Procedures (SOPs) that encode complex, multi-system decision logic, which must be executed reliably under strict time constraints,…
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