Max Robotics — Global Service Robot Directory + US Certification

About

Hailong Qin is a robotics researcher whose work focuses on advancing autonomous navigation and perception for unmanned aerial and ground vehicles. His major contributions lie in developing robust systems for GPS-denied environments, where he pioneered a stereo and rotating laser framework that enables UAVs to navigate and map indoor spaces without satellite signals. Qin also created a high-fidelity quadrotor simulator using ROS and Gazebo—a tool that has garnered 32 citations for allowing safe, cost-effective flight testing without physical risk. His research on intelligent robotic systems for autonomous exploration and active SLAM (Simultaneous Localization and Mapping) has been cited 15 times, demonstrating its impact on enabling robots to independently navigate and map unknown terrains. More recently, Qin has explored low-cost aerial-ground delivery systems, combining UAVs and UGVs for practical logistics applications. His work on obstacle-guided informed planning further advances path-planning algorithms for cluttered environments. Through these contributions, Qin has established himself as a key figure in developing practical, sensor-rich robotic systems that operate reliably in challenging, real-world conditions.