Mingyue Jiang

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About

Mingyue Jiang is a researcher in robotics and software engineering, with a primary focus on the configuration and optimization of highly-configurable systems for autonomous mobile robots. Her key research areas include motion planning, algorithm selection, and the synthesis of adaptive robotic planners. Jiang’s major contribution lies in developing a dynamic framework for selecting and composing obstacle avoidance and navigation algorithms, enabling mobile robots to construct synthetic planners tailored to specific environments. This work addresses the critical challenge of balancing performance and adaptability in real-world robotic systems. While her most-cited paper, "Dynamic Algorithm Selection for Mobile Robots Motion Planning" (2020), has garnered 3 citations, it represents foundational work in the emerging field of algorithm configuration for robotics. Jiang’s research is particularly notable for bridging the gap between software product lines and autonomous navigation, offering a systematic approach to managing the complexity of robotic software. Her work holds promise for advancing the reliability and efficiency of mobile robots in dynamic, unstructured environments, making her a rising voice in the intersection of robotics and configurable software systems.