Papers
1
Total Citations
13
H-Index
1
About
Qianyi Xu is a robotics researcher specializing in robotic manipulation, dexterous grasping, and automation systems. Their most recognized contribution centers on solving a fundamentally challenging problem in industrial robotics: reliably picking thin, rigid objects from flat surfaces — a task that has long posed significant difficulties for conventional robotic grippers. In their 2020 paper, "Picking Thin Objects by Tilt-and-Pivot Manipulation and Its Application to Bin Picking," Xu introduced the innovative tilt-and-pivot manipulation technique, which cleverly reorients the gripper about its contact point with an object to achieve a secure grasp without requiring specialized end-effectors. This work has earned 13 citations and holds particular relevance for industrial bin-picking applications, where handling flat or low-profile components efficiently remains a persistent engineering challenge. By bridging the gap between theoretical manipulation planning and practical automation needs, Xu's research contributes meaningfully to advancing robotic dexterity in unstructured environments. Their work appeals to both academic researchers exploring in-hand manipulation strategies and industry practitioners seeking robust, adaptable solutions for automated assembly and logistics systems.
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