Jinglin Shen
Papers
10
Total Citations
134
H-Index
6
About
Jinglin Shen is a robotics researcher whose work spans autonomous navigation, computer vision, sensor fusion, and human-robot interaction. His most significant contributions center on developing robust localization frameworks for mobile robots, most notably through innovative fusion of discrete and continuous epipolar geometry with IMU and wheel odometry. His 2012 paper on tracking control of mobile robots, which garnered 35 citations, exemplifies this approach, combining Euclidean homography matrices with multiple sensor modalities to achieve precise pose and velocity estimation for autonomous navigation. Building on this foundation, his 2011 localization work (31 citations) demonstrated how chaining multiple visual odometry techniques with inertial data dramatically improves real-world robustness. Beyond navigation, Shen has made notable contributions to human-robot interaction, designing camera-projector systems that allow robots to intuitively communicate their environmental understanding to human operators. His work on RGB-D camera-projector systems for object grasping illustrates this commitment to practical, intuitive interfaces. Additional research into saliency map-driven exploration and real-time visual search optimization further reflects his broad technical range. Collectively, Shen's body of work — accumulating over 130 citations — represents meaningful advances in making autonomous robotic systems more perceptive, reliable, and communicative in real-world environments.
Research Focus
Key Achievements
Top Papers
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- 8Real-Time Optimization for Eye-in-Hand Visual Search5 citations · 2014
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