arXiv AI By Ahmed R. Sadik, Frank Joublin, Mariusz Bujny, Antonello Ceravola, Joan Smith

Toward AI-Augmented Cooperative Engineering Workflows: Requirements and Architecture the European Rover Challenge

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The paper explores how Artificial Intelligence can enhance cooperative engineering workflows, focusing on the European Rover Challenge where student teams design complex rover systems under tight deadlines. A 40‑question survey of 14 teams revealed common bottlenecks such as poor documentation, unclear requirements, fragmented communication, informal task monitoring, and significant integration rework. Based on these findings, the authors propose requirements for AI‑augmented workflows and outline an assistant system architecture that integrates user interfaces, credential management, service selection, specialized AI services, and external engineering tools to support task clarification, requirement compliance, communication summarization, integration risk detection, and continuous knowledge capture.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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