Papers
5
Total Citations
269
H-Index
5
About
Maggie Xu’s research sits at the intersection of robotics, human-robot interaction, and intelligent manufacturing, with a focus on enabling robots to perceive, plan, and act in unstructured environments. Her most influential work, “Path Planning With Automatic Seam Extraction Over Point Cloud Models for Robotic Arc Welding” (2021, 139 citations), introduced a novel point cloud-based system that uses hand gesture controls to reconstruct 3D workpiece models and automatically extract welding seams—significantly advancing automation in industrial welding. She extended this line of work with neural reactive path planning using Riemannian motion policies for robotic silicone sealing (2022, 31+ citations), blending learning-based control with geometric motion planning for precision tasks. Beyond manufacturing, Xu co-developed the “Rovables” platform (2016, 79 citations), a miniature robot that climbs unmodified clothing using magnetic wheels, enabling on-body sensing and interaction. This work, published at a top venue, showcases her versatility in creating robots that move freely across surfaces. With over 270 total citations, Xu’s contributions bridge practical industrial automation and novel wearable robotics, making her a rising figure in both applied and experimental robotics.
Research Focus
Key Achievements
Top Papers
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- 2Rovables79 citations · 2016
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