Jingmin Xin

Xi'an Jiaotong University, Xi'an University of Technology

Papers

Total Citations

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About

Dr. Jingmin Xin is a pioneering researcher in autonomous robotics, specializing in multi-sensor fusion, deep learning for manipulation, and crowd-aware navigation. Her seminal work, "A Method Integrating Human Visual Attention and Consciousness of Radar and Vision Fusion for Autonomous Vehicle Navigation" (2011, 25 citations), established a robust framework combining millimeter-wave radar with vision sensors for all-weather autonomous vehicle guidance—a foundational contribution to real-time mobile robot navigation. She advanced robotic manipulation with "Deep Learning for Manipulator Visual Positioning" (2018, 4 citations), applying deep object detection networks to enable robots to visually servo on unknown objects, bridging computer vision and control. Her recent "Robot Crowd Navigation Based on Spatio-Temporal Interaction Graphs and Danger Zones" (2023, 2 citations) addresses partially observable crowded environments by modeling dynamic human-robot interactions, improving safety and efficiency. Dr. Xin also developed the "Flexiv Rizon-Based Multitasking Dual-Arm Robot Platform" (2025, 1 citation), showcasing her commitment to practical, integrated robotic systems. Her work, spanning from foundational sensor fusion to cutting-edge deep learning and interaction modeling, has garnered over 30 citations, reflecting her impact on autonomous navigation and robotic manipulation in complex, real-world settings.