Weisi Xie

University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Weisi Xie is a researcher at the forefront of intelligent autonomous systems, specializing in computer vision, multi-robot coordination, and energy-efficient automation. Their work bridges critical gaps between environmental perception and practical industrial deployment, with a particular focus on driverless robotic vehicles and automated manufacturing. Xie’s most influential contribution is a comprehensive 2024 survey on computer vision detection and visual SLAM algorithms for autonomous systems, which has already garnered 22 citations for its systematic analysis of multi-target tracking, defect detection, and navigation challenges. In a second highly cited paper (14 citations), Xie introduced an innovative optimization method for multi-robot automatic welding control using a Particle Swarm Genetic Algorithm, directly addressing cost and efficiency bottlenecks in industrial production lines. A further study on computer vision for driverless vehicles with sensing capability completes their research portfolio. Xie’s work is notable for its practical orientation—offering scalable solutions to real-world problems in manufacturing and robotics—and for synthesizing complex algorithmic approaches into actionable frameworks. Their research is essential reading for engineers and scientists working on the next generation of autonomous, energy-efficient systems.