The AssetOpsBench challenge invites participants to learn, design, develop, and evaluate autonomous AI agents that solve realistic industrial tasks across the full pipeline: Sensing → Reasoning → Actuation. You’ll work with a curated set of scenarios rooted in Industry 4.0 applications such as predictive maintenance, fault diagnosis, work-order generation, and root-cause analysis. These tasks demand both strong single-agent intelligence and coordinated multi-agent behavior.
Participants will interpret heterogeneous data—including textual logs and multivariate time-series—and build modular pipelines where agents take on roles such as Work-Order Agent, Time-Series Foundation Model Agent, and Supervisor Agent. The benchmark encourages innovation in the agent development lifecycle, autonomous decision-making, modular reasoning, and collaborative problem-solving under realistic constraints, advancing the next generation of intelligent industrial systems.
Aligned with national priorities, the challenge targets operational inefficiencies and maintenance bottlenecks in the manufacturing sector. Using the provided datasets and tools, teams aim to improve predictive accuracy, increase operational uptime, and reduce costs—outcomes that can shape industry practice and set new benchmarks for broad adoption.
More details on datasets and challenge is here https://sites.google.com/view/assetopsbench-challenge/home?authuser=0
Please raise it here: https://www.codabench.org/forums/10049/
Additionally, we host office hours (details below) where you can do an interactive discussion with organizers directly.
Frequency: Twice a week (Thursday & Friday) 8:00 PM IST
Joining Link: CODS Agentic AI Challenge_Office hours | Microsoft Teams | Meet-up-Join