Dezhi Zhang

Papers

Total Citations

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About

Dr. Dezhi Zhang is a researcher at the forefront of mobile robotics and big data analytics, with a focused expertise in indoor navigation systems. His most cited work, "Big Data Forecasting Model of Indoor Positions for Mobile Robot Navigation Based on Apache Spark Platform" (2019, 5 citations), introduces a pioneering hybrid forecasting model that leverages the Apache Spark platform to process vast position datasets. This contribution directly addresses a critical challenge in robotics: enhancing the reliability and robustness of indoor robot navigation by predicting positions with greater accuracy. By integrating big data techniques with mobile robot localization, Dr. Zhang’s research offers a scalable solution that improves operational safety in complex environments. His work stands out for its practical application of distributed computing to real-time robotics, bridging the gap between data-driven forecasting and autonomous systems. With a growing citation footprint, Dr. Zhang’s contributions are shaping the future of intelligent navigation, making his research essential for students and engineers developing safer, more adaptive mobile robots.