Zhefei Xiao

Papers

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About

Zhefei Xiao is a robotics researcher whose work centers on autonomous navigation, computer vision, and real-time robotic control. In his most-cited paper, "Stereo Vision-based Autonomous Target Detection and Tracking on an Omnidirectional Mobile Robot" (2019, 7 citations), Xiao introduced a system that integrates an onboard computing unit with a stereo camera to enable a mobile robot to detect and robustly track a target in real time. Built on the Robot Operating System (ROS) framework, this system demonstrated how to handle multi-sensor data streams for seamless autonomous operation. Xiao’s contributions lie in bridging stereo vision with omnidirectional mobility, advancing the practical deployment of autonomous robots in dynamic environments. His work has been cited in subsequent studies on visual servoing and mobile robotics, highlighting its influence on real-time target tracking solutions. By focusing on hardware-software integration and robust perception, Xiao has helped push the boundaries of what small-scale autonomous robots can achieve, making his research valuable for students and engineers developing intelligent, vision-guided robotic systems.