Feng Shan

Southeast University, Nanjing University of Science and Technology, Huazhong University of Science and Technology

Papers

Total Citations

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About

Feng Shan is a leading researcher in the field of robotic swarm coordination and relative localization, with a particular focus on enabling technologies for lightweight aerial and ground swarms. His core contributions center on the development of ultra-wideband (UWB) ranging protocols that allow dense, dynamic networks of small robots—from wearable devices to aerial drones—to achieve precise, onboard relative localization without relying on external infrastructure. Shan’s most cited work, "Ultra-Wideband Swarm Ranging Protocol for Dynamic and Dense Networks" (2022, 15 citations), addresses the critical challenge of scalable ranging in large swarms, a foundational requirement for cooperative tasks such as search, rescue, mapping, and surveillance. His subsequent research, including "Onboard Ranging-Based Relative Localization and Stability for Lightweight Aerial Swarms" (2025), extends these principles to ensure stability and efficiency in the most constrained platforms. Notably, Shan has also explored bio-inspired propulsion, co-authoring a review on particle image velocimetry in fish-inspired biomimetic propulsion (2025), demonstrating a versatile interest in nature-inspired engineering. With a growing citation record and a clear trajectory toward practical, deployable swarm systems, Feng Shan’s work is pivotal for the future of autonomous multi-robot operations.