SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturing
Chathurangi Shyalika, Renjith Prasad, Alaa Al Ghazo, Darssan Eswaramoorthi, Harleen Kaur, Sara Shree Muthuselvam, Amit Sheth

TL;DR
SmartPilot is a neurosymbolic multiagent system designed for Industry 4.0 manufacturing, enabling real-time anomaly detection, production forecasting, and decision support through advanced reasoning on multimodal sensor data.
Contribution
It introduces a unified neurosymbolic multiagent framework that integrates anomaly prediction, forecasting, and question answering for industrial applications.
Findings
Effective anomaly prediction on complex sensor data
Accurate production forecasting in manufacturing environments
Seamless decision support for industrial operators
Abstract
In the dynamic landscape of Industry 4.0, achieving efficiency, precision, and adaptability is essential to optimize manufacturing operations. Industries suffer due to supply chain disruptions caused by anomalies, which are being detected by current AI models but leaving domain experts uncertain without deeper insights into these anomalies. Additionally, operational inefficiencies persist due to inaccurate production forecasts and the limited effectiveness of traditional AI models for processing complex sensor data. Despite these advancements, existing systems lack the seamless integration of these capabilities needed to create a truly unified solution for enhancing production and decision-making. We propose SmartPilot, a neurosymbolic, multiagent CoPilot designed for advanced reasoning and contextual decision-making to address these challenges. SmartPilot processes multimodal sensor…
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Taxonomy
TopicsAnomaly Detection Techniques and Applications · Time Series Analysis and Forecasting · Forecasting Techniques and Applications
