Dawen Xie

Mitchell Institute, Texas A&M University

Papers

Total Citations

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About

Dawen Xie is a researcher whose work has significantly advanced the field of automated motion planning, with applications spanning robotics, virtual reality, computer-aided design, and computational biology. His most influential contribution, "Iterative relaxation of constraints: a framework for improving automated motion planning" (2005, 40 citations), introduces a powerful technique that enhances the efficiency of motion planners by iteratively refining constraints. This framework addresses a fundamental challenge in the field, enabling more practical and scalable solutions for complex environments. Xie also made key strides in handling high-degree-of-freedom (DOF) systems with his 2004 paper (32 citations), which presents a kinematics-based probabilistic roadmap method for articulated structures with closed kinematic chains—a notoriously difficult problem with applications in robotics and molecular modeling. His work on "Incremental Map Generation" (2008, 22 citations) further demonstrates his versatility, contributing to spatial reasoning and mapping. With a total of over 90 citations across his most-cited works, Xie’s research has provided foundational tools for both theoretical and applied motion planning, solidifying his impact on autonomous systems and computational geometry.