Qilai Wang

Papers

Total Citations

H-Index

About

Qilai Wang is a researcher specializing in autonomous navigation and mobile robotics, with a particular focus on path planning and simultaneous localization and mapping (SLAM) for Automated Guided Vehicles (AGVs). His most cited work, "Path planning of mobile robots based on an improved A* algorithm" (2020, 19 citations), addresses the critical challenge of optimizing navigation tasks in static environments by enhancing the classic A* algorithm with varied heuristic functions, offering more efficient and reliable route generation for AGVs. In his second highly cited paper, "An Improved Particle Filter SLAM Algorithm for AGVs" (2020, 6 citations), Wang tackles key limitations of traditional particle filter methods—such as high computational cost, poor real-time performance, and limited accuracy—by introducing an improved particle filtering approach for SLAM, which significantly boosts localization and mapping precision. These contributions are vital for advancing autonomous systems in logistics and industrial automation, where efficient, real-time navigation is essential. Wang’s work demonstrates a clear impact on the field, providing practical solutions that enhance the performance and reliability of mobile robots in complex environments.