Haiwen Zhu

Papers

Total Citations

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About

Haiwen Zhu is a robotics researcher specializing in autonomous navigation, with a focus on indoor mobile robot localization, mapping, and path tracking. His work addresses fundamental challenges in enabling robots to move accurately and efficiently within structured indoor environments. Zhu’s most cited paper, “PP-ST: An Indoor Mobile Robot Path Tracking Algorithm” (2023, 9 citations), introduces a refined Pure Pursuit algorithm that overcomes the classic trade-off between approach speed and cornering stability, offering smoother and more responsive trajectory following. In his earlier work, “Indoor SLAM Algorithm Based on PL-ICP and Map Matching” (2021, 5 citations), he advanced simultaneous localization and mapping by leveraging the faster convergence and higher accuracy of PL-ICP over standard ICP, while integrating map matching to improve loop closure and global consistency. Though his citation counts are modest, Zhu’s contributions are technically significant for the practical deployment of service and logistics robots in cluttered indoor spaces. His research sits at the intersection of control theory and sensor fusion, and his algorithms have direct applicability in warehouse automation, healthcare robotics, and smart building navigation.