Cong Gu

Beijing Research Institute of Automation for Machinery Industry (China)

Papers

Total Citations

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About

Cong Gu is a researcher focused on advancing autonomous navigation and perception in mobile robotics, with a particular emphasis on simultaneous localization and mapping (SLAM) in indoor environments. Their most cited work, "Research on SLAM of indoor mobile robot assisted by AR code landmark" (2021), addresses critical challenges in large-scale indoor robotics—specifically, the accumulated odometer errors and unreliable sensor data that degrade positioning accuracy and mapping fidelity. By integrating AR code landmarks as external reference points, Gu proposed a novel method to correct drift and enhance localization reliability, bridging the gap between pure sensor-based SLAM and structured environmental cues. This contribution, with 4 citations, has informed subsequent studies in hybrid SLAM systems and landmark-assisted navigation. Gu’s research sits at the intersection of computer vision, robotics, and augmented reality, offering practical solutions for real-world deployment in warehouses, hospitals, and smart buildings. Their work underscores a commitment to making autonomous systems more robust in cluttered, GPS-denied spaces—a vital step toward truly adaptive indoor robots.