Mingze Dong

Papers

Total Citations

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About

Mingze Dong is a robotics researcher whose work centers on autonomous navigation, motion control, and human-robot interaction in complex, dynamic environments. His most cited paper, “Design of Ackerman Mobile Robot System Based on ROS and Lidar” (2021, 6 citations), established a foundational hardware-software architecture integrating ROS, lidar, and STM32 microcontrollers—a practical reference for mobile robotics platforms. More recently, Dong has advanced collision-free navigation in crowded spaces through “Collision-Free Robot Navigation in Crowded Environments using Learning based Convex Model Predictive Control” (2024, 2 citations), where he uniquely bridges learning-based perception with convex optimization for real-time, safe trajectory planning. This work addresses a critical gap: enabling robots to anticipate and adapt to unpredictable human motion without sacrificing efficiency. Dong’s contributions are notable for their applied focus—moving from system design to intelligent control—and for tackling the real-world challenge of seamless robot operation alongside people. His research is particularly relevant for students and engineers working on autonomous vehicles, service robots, and human-aware navigation systems, offering both a practical platform and a novel algorithmic framework for safe, adaptive motion in crowded settings.