Liang Shiliu

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About

Liang Shiliu is a robotics researcher whose work focuses on autonomous navigation and disaster response, with particular expertise in simultaneous localization and mapping (SLAM) for mobile robots operating in complex indoor environments. His most impactful contribution, the 2019 paper "SLAM Algorithm Analysis of Mobile Robot Based on Lidar," has accumulated 80 citations and demonstrates his practical approach to robotics—testing algorithms on real hardware using the Robot Operating System (ROS) and the Gazebo simulator. This work specifically addresses the challenges of urban search and rescue (USAR) scenarios, where reliable mapping and localization are critical for autonomous operation in collapsed structures or hazardous areas. Shiliu has also contributed a comprehensive survey on the key technologies behind RoboCup Rescue robots, synthesizing the state of the art in this specialized field. His research bridges the gap between theoretical SLAM algorithms and their deployment in life-saving applications, making him a notable figure in the intersection of field robotics and disaster response technology.