Ahmed AlKatheeri

Technology Innovation Institute

Papers

1

Total Citations

11

H-Index

1

About

Ahmed AlKatheeri is a leading researcher in autonomous robotic swarms, with a focus on infrastructure-free localization for nano-drones. His most cited work, "Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization" (2023, 11 citations), tackles the critical challenge of relative localization in fleets of sub-10 cm-scale drones. By leveraging Ultra-Wideband (UWB) technology, he enables these severely power-constrained platforms to achieve scalable, decentralized coordination without external infrastructure—a breakthrough for real-world swarm deployment. AlKatheeri’s contributions bridge the gap between theoretical swarm intelligence and practical, energy-efficient hardware, demonstrating how tiny aerial robots can collaboratively map and navigate unknown environments. His work has been recognized for its potential in search-and-rescue, environmental monitoring, and precision agriculture, where minimal footprint and maximal autonomy are essential. Through innovative algorithm-hardware co-design, AlKatheeri continues to push the boundaries of what nano-drone swarms can accomplish, making him a rising figure in field robotics and multi-agent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization
11 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Technology Innovation Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago