Guoli Zhang

Guilin University of Electronic Technology

Papers

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About

Guoli Zhang is a researcher at the forefront of robotic perception and edge computing, with a primary focus on acoustic simultaneous localization and mapping (SLAM) systems. His pioneering work addresses a critical challenge in robotics: enabling autonomous navigation in environments where visual sensors fail, such as dark or smoky spaces. Zhang’s most cited paper, "A Graph Optimization-Based Acoustic SLAM Edge Computing System Offering Centimeter-Level Mapping Services with Reflector Recognition Capability" (2021, 5 citations), introduces a novel framework that leverages echo signals from room impulse responses (RIR) to achieve centimeter-level mapping accuracy. By integrating graph optimization techniques with reflector recognition, his system overcomes the traditional difficulty of associating time-of-arrival (TOA) data with corresponding reflectors, a key bottleneck in acoustic SLAM. This edge computing solution not only enhances real-time processing but also demonstrates practical viability for deployment in unknown environments without camera support. Zhang’s contributions are particularly impactful in the growing field of sensor fusion and edge AI, offering a robust alternative for robots operating under constrained visibility. His work has been recognized for its potential to advance autonomous systems in search-and-rescue, industrial inspection, and other demanding applications, marking him as an emerging innovator in robotic mapping technologies.