Yishuang Geng

University of Science and Technology Beijing

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About

Yishuang Geng is a researcher whose work lies at the intersection of swarm robotics and precise localization, with a particular focus on the challenges posed by near-ground environments. His key research areas include robotic localization, Cramér-Rao Lower Bound (CRLB) analysis, and the application of time-of-arrival (TOA) techniques in multi-robot systems. Geng’s major contribution is his derivation of the CRLB for TOA-based localization in near-ground swarm robotic systems, a critical advancement that quantifies the fundamental limits of positioning accuracy when ground reflections introduce significant errors. This work, published in 2015, has garnered 3 citations and provides a theoretical foundation for improving communication and task allocation in swarms operating close to surfaces. By addressing the unique interference patterns of ground reflections, Geng’s research enables more reliable and efficient coordination among robots in real-world scenarios, such as search-and-rescue or environmental monitoring. His findings are particularly valuable for engineers and researchers developing robust localization algorithms for autonomous ground vehicles and aerial drones. With a focus on bridging theory and application, Geng’s work continues to influence the design of resilient, high-precision navigation systems for distributed robotic networks.