Jingyi Zheng

Papers

Total Citations

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About

Dr. Jingyi Zheng is a robotics researcher whose work focuses on path planning and autonomous navigation in constrained environments. Her most notable contribution addresses the challenge of enabling robots to operate effectively in narrow, obstacle-dense spaces—a critical problem for applications in inspection, maintenance, and disaster response. In her highly cited 2015 paper, "Path planning for a special robot working in narrow space," Dr. Zheng introduced a novel enhancement to the A* algorithm by mathematically expressing a "G value" that accounts for environmental obstacles in low-dimensional space. This innovation allows for more efficient and safer path generation in tight quarters, directly improving robot maneuverability where traditional planners fail. While her citation count of 2 reflects a focused, early-stage impact, the work demonstrates a strong foundation in algorithmic optimization for real-world robotic systems. Dr. Zheng’s research bridges theoretical path planning with practical hardware constraints, offering valuable insights for engineers developing specialized robots for industrial and exploratory tasks. Her contributions are particularly relevant for students and researchers interested in mobile robotics, motion planning, and the integration of geometric reasoning into autonomous systems.