Xuelei Wang

Papers

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About

Xuelei Wang is a robotics researcher whose work centers on the kinematic analysis and mechanical design of parallel mechanisms, with particular applications in industrial automation and agricultural robotics. Wang's research investigates the mathematical foundations governing robot motion, including forward and inverse kinematics, statics, and workspace characterization — essential tools for enabling precise robotic control in real-world environments. Among Wang's notable contributions is a 2016 study introducing a novel 4-degree-of-freedom parallel mechanism designed for laser weeding robots, a system with promising implications for precision agriculture and automated crop management, which has garnered 5 citations. Wang has also explored the well-established Tricept robot platform, examining the kinematics and workspace of its underlying 3UPS-UP parallel mechanism — research with direct relevance to industrial manufacturing applications where the Tricept robot is widely deployed. While Wang's citation profile remains in its early stages, the breadth of applications addressed — spanning agricultural robotics and industrial production — reflects a versatile research program with meaningful real-world relevance. Students interested in parallel mechanism design, motion planning, or robotics for automation will find Wang's work a useful technical reference point.