Fuxiang Chen

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About

Fuxiang Chen is a leading researcher in indoor localization and autonomous mobile robotics, with a primary focus on developing robust, scalable positioning systems for complex 3D environments. His most-cited work, "Reliable Indoor Localization in Multibuilding Environments: Leveraging Environment-Invariant and Position-Related Features" (2025), addresses a critical challenge in Received Signal Strength Indicator (RSSI)-based localization: maintaining accuracy across cross-floor and multi-building structures. Chen’s key contribution lies in identifying and exploiting environment-invariant features that transcend spatial and structural variations, enabling reliable navigation without extensive site-specific calibration. This approach significantly improves localization robustness in real-world deployments, where traditional methods falter due to signal attenuation and multipath effects. His research has garnered attention for its practical implications in warehouse logistics, smart buildings, and emergency response robotics. With over 50 citations to his work, Chen continues to push the boundaries of cost-effective, infrastructure-light localization, making autonomous systems more adaptable and dependable in complex indoor spaces.