Max Robotics — Global Service Robot Directory + US Certification

About

Xilong Liu is a robotics researcher whose work sits at the intersection of computer vision, visual servoing, and autonomous robotic systems. His research has made significant contributions to vision-guided robotics, with a particular focus on high-precision calibration, robotic grasping and assembly, and mobile robot navigation. Liu's most influential contributions include a vision-based target-following framework for mobile robots (63 citations), which introduced innovative irregular sampling techniques via target contour bands, and a precision robotic assembly system integrating microscopic vision and force sensing (32 citations). His work on high-precision calibration for three-dimensional vision-guided systems (41 citations) addresses the complex interplay of assembly and pose errors in industrial curved-surface operations — a critical challenge for real-world deployment. His research on robotic grasping for small-component assembly (45 citations) further demonstrates a consistent drive toward practical, high-accuracy industrial robotics solutions. Beyond precision assembly, Liu has explored situational-awareness-based robot navigation, bionic eye systems with 3D triangulation and mechanical stabilization, and dynamic object perception using monocular cameras. With over 225 total citations across his publications, Liu's body of work reflects a coherent vision: bridging sophisticated computer vision algorithms with robust, deployable robotic systems for demanding real-world environments.