Annu Annu

Indian Institute of Technology Hyderabad

Papers

Total Citations

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About

Annu Annu is a rising researcher in the field of robotics and autonomous systems, with a focused expertise in cloud-based control architectures and swarm robotics. Her most cited work, "Cloud-Based Control of Drone Swarm with Localization via Ultra-Wideband" (2023), addresses a critical challenge in deploying large-scale aerial robot teams: achieving precise, real-time coordination without heavy onboard computation. By integrating cloud computing for centralized decision-making and ultra-wideband (UWB) technology for accurate localization, Annu’s research demonstrates how cheaper, lighter drones can be networked into intelligent swarms that enhance safety and unlock capabilities impossible for single agents. This contribution, already garnering 3 citations in its first year, underscores her impact in advancing practical swarm deployment for applications like search-and-rescue, environmental monitoring, and infrastructure inspection. Annu’s work bridges the gap between theoretical swarm algorithms and real-world implementation, offering a scalable solution that reduces hardware costs while maintaining robust performance. As drone swarms move from lab experiments to field operations, Annu’s cloud-UWB framework stands out as a key enabler, positioning her as a promising voice in the next generation of autonomous systems research.