Jinliang Chen

Huazhong University of Science and Technology

Papers

Total Citations

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About

Jinliang Chen is a researcher whose work centers on the dynamic modeling and parameter identification of robotic manipulators, with a particular focus on redundant systems. His key contribution lies in developing improved methods for accurately identifying the dynamic parameters of redundant manipulators, which is essential for achieving precise simulation and control in real-world applications. His most-cited paper, “An improved parameter identification method of redundant manipulator” (2021), has garnered 16 citations, reflecting its relevance in the field of robotics. By addressing the challenges of dynamic modeling, Chen’s work helps bridge the gap between theoretical models and practical robotic performance, enabling more efficient and accurate manipulation in industrial and research settings. His research is particularly valuable for advancing the capabilities of redundant manipulators, which offer greater flexibility and dexterity than traditional robotic arms. Chen’s contributions support the broader goal of enhancing robotic autonomy and precision, making him a notable figure in the ongoing development of intelligent robotic systems.