Rohan Tiwari

Indraprastha Institute of Information Technology Delhi, Carnegie Mellon University

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About

Rohan Tiwari investigates the intersection of swarm robotics and autonomous aerial systems, focusing on how to make multi-robot teams both controllable and resilient in real-world conditions. His most-cited work, "Effect of Leader Placement on Robotic Swarm Control" (2017, 5 citations), addresses a fundamental challenge in swarm engineering: how the spatial positioning of a few human-selected leaders influences the collective’s efficiency and robustness. Drawing inspiration from biological systems, Tiwari’s research provides a quantitative framework for measuring leader influence—a critical step toward enabling intuitive human-swarm interaction. His applied contributions are highlighted in "Mission-Level Robustness with Rapidly-Deployed, Autonomous Aerial Vehicles" (2022, 3 citations), which documents Carnegie Mellon Team Tartan’s performance at the MBZIRC 2020 competition. In this work, Tiwari helped develop aerial systems that can adapt to hardware failures, environmental changes, and mission subtask disruptions without requiring a rigid, pre-planned sequence of events. This emphasis on mission-level robustness and rapid deployment addresses a key gap between laboratory demonstrations and high-risk field operations. Tiwari’s research is particularly valuable for students and engineers seeking to bridge theoretical swarm dynamics with practical, fault-tolerant autonomy.