Zexin Peng

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About

Dr. Zexin Peng is a leading researcher in robotics and autonomous navigation, specializing in simultaneous localization and mapping (SLAM) for indoor environments. His most cited work, "2DLIW-SLAM: 2D LiDAR-inertial-wheel odometry with real-time loop closure" (2024, 14 citations), addresses a critical challenge in cost-effective indoor navigation: motion degeneracy in geometrically sparse spaces. By fusing 2D LiDAR data with inertial and wheel odometry, Dr. Peng's system achieves robust, real-time loop closure—a breakthrough for budget-constrained platforms that cannot afford 3D LiDAR. This contribution directly improves the reliability of autonomous robots in warehouses, factories, and homes. His research bridges the gap between high-performance SLAM and practical, low-cost hardware, making advanced navigation accessible. With growing citation impact, Dr. Peng's work is shaping the future of indoor robotics, offering elegant solutions to long-standing sensor fusion problems.