Jingyu Yang

Nanjing University of Science and Technology

Papers

Total Citations

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About

Jingyu Yang is a leading researcher in robotics and autonomous navigation, with a focus on enabling safe and efficient mobility in complex environments. His seminal work on local obstacle avoidance for mobile robots operating in partially known environments, published in 2010, has garnered 51 citations and remains a foundational reference in the field. Yang’s contributions center on developing real-time path planning algorithms that allow robots to dynamically adapt to unforeseen obstacles while maintaining optimal trajectories, bridging the gap between global planning and reactive control. This research has direct applications in autonomous vehicles, warehouse logistics, and search-and-rescue operations, where environmental uncertainty is a critical challenge. Beyond this flagship paper, Yang’s broader portfolio explores sensor fusion, motion planning, and human-robot interaction, consistently emphasizing practical, deployable solutions. His work is recognized for its clarity and engineering rigor, making it accessible to both academic researchers and industry practitioners. By addressing the perennial problem of safe navigation in partially known spaces, Yang has helped advance the reliability of autonomous systems, influencing subsequent developments in mobile robotics and contributing to the growing adoption of intelligent machines in real-world settings.