Raunak Bag

Papers

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About

Raunak Bag is a rising researcher in the field of autonomous and robotic systems, with a sharp focus on the intersection of software engineering and non-functional requirements (NFRs). His work addresses a critical challenge: how to systematically manage the inherent conflicts between NFRs—such as safety, performance, and reliability—that arise in complex, multi-stakeholder robotic environments. Bag’s most-cited paper, “SCARS: Suturing wounds due to conflicts between non‐functional requirements in autonomous and robotic systems” (2023, 4 citations), introduces a novel framework for detecting and resolving these conflicts, offering a structured approach to ensure system robustness. He further advances this line of inquiry in “Eliciting context-oriented NFR constraints and conflicts in robotic systems” (2023, 2 citations), where he emphasizes the role of operational context in shaping requirement trade-offs. His latest work, “Contextual Correlation Inference in Multi-fleet Robotic Systems” (2025, 1 citation), extends these ideas to multi-robot fleets, tackling the complexities of coordination and dependency analysis. Though early in his career, Bag’s contributions are carving out a vital niche in requirement engineering for autonomous systems, providing foundational tools for building more reliable and conflict-resilient robots. His research is essential reading for anyone interested in the software backbone of next-generation robotics.