Max Robotics — Global Service Robot Directory + US Certification

About

Lianwu Guan is a robotics researcher specializing in autonomous navigation, multi-sensor fusion, and intelligent perception systems. His work primarily focuses on developing practical, low-cost solutions for real-world robotic applications, particularly in indoor service robotics and industrial pipeline inspection. Guan’s most impactful contribution is the design of a low-cost indoor navigation system for food delivery robots, which integrates multi-sensor information fusion to address labor shortages in the restaurant industry—this work has garnered 61 citations. He has also advanced object extraction techniques by combining YOLOv3 semantic detection with an improved K-means algorithm (32 citations), and developed learning-based global and local planners for goal-directed robot navigation (28 citations). In the industrial domain, Guan proposed a micro-inertial-aided high-precision positioning method for small-diameter Pipeline Inspection Gauges (PIGs), enhancing pipeline defect detection and safety. His additional work on junction detection using continuous complex wavelet transforms (CCWT) and MEMS accelerometers further demonstrates his versatility in applying sensor fusion to challenging navigation environments. With a growing citation record and a focus on bridging the gap between research and practical deployment, Guan’s contributions are shaping the future of autonomous service robots and industrial inspection systems.