Yang Qian

Laboratoire d'Automatique, Génie Informatique et Signal, Centre National de la Recherche Scientifique

Papers

Total Citations

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About

Yang Qian is a robotics researcher whose work centers on the design, modeling, and intelligent control of mobile manipulator systems — robotic platforms that combine mobility with dexterous manipulation capabilities. His most recognized contribution, the 2013 thesis "Design and Control of a Personal Assistant Robot," represents a comprehensive investigation into mechanical design, simulation, and control of mobile manipulator robots intended for human assistance applications, earning 7 citations and establishing his foundational expertise in the field. Complementing this work, his research on path planning for redundant manipulators, utilizing the Jacobian Pseudoinverse-RRT algorithm, demonstrates his focus on solving complex motion planning challenges inherent to high-degree-of-freedom robotic systems, garnering 6 citations. His 2018 study on RBF neural network adaptive control further highlights his evolution toward intelligent, data-driven control strategies that address real-world limitations in sensing and communication for mobile manipulators, adding 4 citations to his portfolio. Across these contributions, Qian's research consistently bridges theoretical modeling with practical control solutions, making his work particularly relevant for students and engineers working on service robotics, human-robot interaction, and autonomous manipulation systems.