Zhe Fan

Papers

Total Citations

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About

Zhe Fan is a researcher at the forefront of hardware-accelerated robotics and embedded systems, with a primary focus on enabling real-time Simultaneous Localization and Mapping (SLAM) in mobile and resource-constrained platforms. His most notable contribution, "Hardware Acceleration for SLAM in Mobile Systems" (2023), addresses the critical bottleneck of computational efficiency by leveraging specialized hardware architectures—such as FPGAs and custom accelerators—to offload the intensive processing demands of visual-inertial SLAM. This work has garnered early recognition (3 citations), signaling its potential to shape future low-power, high-performance robotic perception systems. Fan’s research bridges the gap between algorithmic innovation and practical deployment, targeting applications from autonomous drones to augmented reality devices. By demonstrating that hardware-software co-design can achieve real-time localization without sacrificing accuracy or energy efficiency, he is paving the way for next-generation mobile intelligence. His contributions are particularly relevant as the robotics community increasingly seeks to move SLAM from bulky, high-power systems to compact, edge-computing platforms.