Shaozhang Xiao

Papers

Total Citations

H-Index

About

Shaozhang Xiao is a robotics researcher whose work centers on autonomous navigation, localization, and intelligent perception for indoor mobile robots. His most-cited paper, "Novel cartographer using an OAK-D smart camera for indoor robots location and navigation" (2023), introduces an innovative approach that leverages an OAK-D depth camera to enhance simultaneous localization and mapping (SLAM) for service robots in indoor environments. This contribution addresses the growing demand for more intelligent, autonomous robots capable of navigating complex indoor spaces without relying on expensive or bulky sensors. By integrating computer vision and depth sensing, Xiao’s work offers a cost-effective, real-time solution for robot positioning and mapping, with direct applications in home assistance, logistics, and industrial automation. Though early in his career, his research has already garnered attention, accumulating citations that reflect its relevance to the robotics community. Xiao’s work stands out for its practical, hardware-in-the-loop approach, bridging the gap between theoretical SLAM algorithms and deployable robotic systems. His ongoing contributions continue to push the boundaries of how robots perceive and interact with indoor environments.