Qizhi Chen
Papers
7
Total Citations
184
H-Index
6
About
Qizhi Chen is a robotics and automation researcher whose work spans robotic machining, motion control, dynamic modeling, and intelligent manufacturing systems. Chen has made significant contributions to the field of robotic milling and posture optimization, developing comprehensive deformation indices that account for both spindle weight and cutting forces to minimize machining errors — work that has garnered over 70 citations and established Chen as a leading voice in robotic manufacturing precision. Beyond machining, Chen has advanced trajectory planning through S-shaped acceleration/deceleration algorithms tailored for high-inertia sorting systems, improving both accuracy and operational efficiency. Chen's contributions to control theory are equally notable, including the development of a finite-time backstepping controller with a novel extended state observer that achieves robust trajectory tracking without requiring exact dynamic models. Complementing this, Chen proposed an innovative dynamic parameter identification method for elastic-joint industrial robots using only motor encoders — an elegant solution to a longstanding practical challenge. More recently, Chen has expanded into adaptive remanufacturing and machine-learning-based positioning error compensation, reflecting a forward-looking research trajectory. With a growing citation record across control, planning, and intelligent manufacturing, Chen's work offers robust, practically grounded solutions to real-world robotics challenges.
Research Focus
Key Achievements
Top Papers
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