Zhanming Li

Papers

Total Citations

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About

Zhanming Li is a robotics researcher whose work focuses on adaptive control and visual servoing for robotic manipulation in unstructured environments. His most-cited paper, "Robotic Adaptive Impedance Control Based On Visual Guidance" (2015), introduces a novel approach that combines uncalibrated visual servoing with impedance control, using multiple support vector regression (SVR) machines to estimate the Jacobian matrix of image features. This method enables robots to interact safely and precisely with unknown surroundings, particularly when handling curved-line features—a challenging problem in vision-based robotics. While his citation count remains modest, Li’s contributions are technically significant, advancing the integration of machine learning with real-time robotic control. His work addresses a critical gap in adaptive systems: maintaining stability and compliance without prior calibration. For students and researchers in robotics and control, Li’s research offers a practical framework for developing robots that can learn and adapt on the fly, bridging the gap between vision and action in dynamic settings.