PetroGraph is a multi-agent LLM system that automates reservoir history matching and reduces mismatch by 95% on SPE1, 69% on SPE9, and 13% on the Norne field model.
An LLM-based approach for enabling seamless Human-Robot collaboration in assembly
2 Pith papers cite this work, alongside 105 external citations. Polarity classification is still indexing.
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Pith papers citing it
105
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2026 2verdicts
UNVERDICTED 2representative citing papers
Presents a distributed ROS 2 framework integrating local LLMs and VLMs for conversational human-robot manipulation tasks with operator confirmation and experimental evaluation on a Franka FR3 arm.
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Multi-Agentic Approach for History Matching of Oil Reservoirs
PetroGraph is a multi-agent LLM system that automates reservoir history matching and reduces mismatch by 95% on SPE1, 69% on SPE9, and 13% on the Norne field model.
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A Conversational Framework for Human-Robot Collaborative Manipulation with Distributed Generative AI models
Presents a distributed ROS 2 framework integrating local LLMs and VLMs for conversational human-robot manipulation tasks with operator confirmation and experimental evaluation on a Franka FR3 arm.