Qunlin Cheng

Shanghai Academy of Spaceflight Technology

Papers

Total Citations

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About

Qunlin Cheng is a researcher specializing in robotics, particularly the precision control and error compensation of multi-degree-of-freedom manipulators. Their most-cited work, "Pose error compensation based on joint space division for 6-DOF robot manipulators" (2021), has garnered 47 citations, reflecting its significance in addressing a critical challenge in industrial robotics: improving end-effector accuracy without costly hardware upgrades. Cheng’s key contribution lies in developing a novel method that divides the joint space into regions, enabling targeted compensation of pose errors caused by kinematic inaccuracies and joint flexibility. This approach enhances the practical applicability of robots in tasks requiring high precision, such as assembly and machining. By focusing on computationally efficient, model-based solutions, Cheng bridges the gap between theoretical kinematics and real-world robotic performance. Their work is particularly valuable for students and researchers exploring robot calibration, motion control, and advanced manufacturing automation, offering a clear pathway to improving robot accuracy through intelligent algorithmic design.