Xiubo Xu

Papers

Total Citations

H-Index

About

Xiubo Xu is a researcher whose work centers on robotic dexterous manipulation, with a particular focus on grasp planning for multi-fingered hands. His key contributions lie in developing mathematical models and force-based strategies to achieve stable grasping under constrained sensing conditions. In his most cited work, "Stable grasp planning based on minimum force for dexterous hands" (2020, 15 citations), Xu introduced a method that optimizes the minimum force required to secure an object, a critical advancement for improving both efficiency and safety in robotic handling. His earlier paper, "Grasp Planning for Multi-Fingered Hand in Blind Grasping" (2018, 3 citations), presents a novel approach that relies solely on force sensors and geometric data, deliberately excluding visual input. By constructing a precise mathematical model of the finger-object interaction, Xu demonstrated that stable grasps can be predicted and executed even when the robot has no prior visual information about the object. This work is particularly notable for its practical implications in unstructured environments where vision may be unreliable. Through these contributions, Xiubo Xu has advanced the field of robotic grasping, offering robust solutions that enhance the autonomy and reliability of dexterous hands in real-world applications.