Max Robotics — Global Service Robot Directory + US Certification

About

Zhiguang Cao is a leading researcher at the intersection of robotics, computer vision, and intelligent systems. His work primarily focuses on enabling robots to perceive, navigate, and interact with dynamic environments, with notable contributions in sports robotics and medical interventions. Cao gained significant recognition for developing a YOLO-based approach to detect shuttlecocks for badminton robots (105 citations), alongside complementary work on trajectory tracking using FTOC (31 citations), advancing real-time object detection in high-speed scenarios. He has also pioneered indoor robot positioning through WiFi-based deep fuzzy forests (92 citations), addressing persistent challenges in mobile robot localization without relying on complex visual systems. In the medical domain, Cao introduced a novel robotic guidance system with eye-gaze tracking control for needle-based interventions (37 citations), demonstrating his versatility in human-robot interaction. His recent work on DRL-Searcher (13 citations) presents a unified deep reinforcement learning framework for multirobot efficient search of moving targets, tackling fundamental problems in cooperative robotics. With over 278 total citations, Cao’s research continues to shape practical robotic applications, from sports automation to surgical assistance, making him a notable figure in contemporary robotics and intelligent systems.