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Shuxin Lin

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Book Open access Aug 2026

Building Reliable Industrial Agents with MCP: A Hands-on AssetOpsBench Tutorial for AI-Driven Operations

This tutorial provides the foundations for building auditable, production-grade agents for Industry 4.0 through end to end MCP grounded agent pipeline that connects specialized MCP servers to high velocity industrial data.

Dhaval Patel, Chathurangi Shyalika, Shuxin Lin et al. · 0 citations
#artificial intelligence Book Open access Jun 2025

AssetOpsBench: A Real-World Evaluation Benchmark for AI-Driven Task Automation in Industrial Asset Management

An automated evaluation framework that uses three key metrics to analyze architectural trade-offs between the Agent-As-Tool and Plan-Execute paradigms, along with a systematic procedure for the automated discovery of emerging failure modes is introduced.

Dhaval Patel, Shuxin Lin, James T. Rayfield et al. · 17 citations · ⚡3
Book Open access Aug 2026

Building Reliable Industrial Agents with MCP: A Hands-on AssetOpsBench Tutorial for AI-Driven Operations

As Large Language Model (LLM) agents transition from general-purpose assistants to specialized enterprise tools, grounding them in industrial reality remains a significant challenge. To address this, we developed AssetOpsBench, a comprehensive framework for the lifecycle of AI agents in Industrial Asset Operations and...

Dhaval Patel, Chathurangi Shyalika, Shuxin Lin et al. · 0 citations

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