Qingsong Li

University of Shanghai for Science and Technology

Papers

Total Citations

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About

Qingsong Li is a robotics researcher whose work centers on the intersection of visual servoing, nonholonomic mobile robot control, and autonomous navigation systems. His research addresses one of the field's fundamental challenges: designing robust controllers for nonholonomic kinematic systems operating under visual feedback uncertainty — conditions significantly more complex than standard kinematic control scenarios. Li's most recognized contribution, "Visual Servoing Based Regulation of Nonholonomic Mobile Robots with Uncalibrated Monocular Camera" (2007), has garnered 15 citations and demonstrates his ability to tackle real-world constraints such as camera calibration limitations. By employing innovative two-step techniques, he developed controllers capable of maintaining robust performance even when precise sensor calibration is unavailable — a practically significant advancement for deployable robotic systems. His complementary work on visual servoing tracking (2006), drawing on Barbalat's theorem alongside two-step methodologies, further establishes his expertise in trajectory tracking under uncertainty. Together, these contributions reflect a coherent research program aimed at making autonomous mobile robots more reliable and adaptable in unstructured environments. Li's scholarship offers valuable theoretical and practical insights for researchers working on robot autonomy, computer vision-based control, and intelligent mobile systems.