Ma Lei

Papers

Total Citations

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About

Ma Lei is a robotics researcher whose work bridges the gap between autonomous systems and practical industrial applications. His primary research areas include multi-robot coordination, path planning, and 3D reconstruction, with a focus on optimizing collaborative robotic systems for real-world tasks. His most cited paper, "A Dual-Robot Cooperative Welding Path Planning Algorithm Based on Improved Ant Colony Optimization" (2022, 6 citations), introduces a low-cost, efficient solution for dual-robot welding by modeling the problem as an optimization challenge and solving it with an enhanced ant colony algorithm. This work demonstrates his ability to tackle complex coordination problems in manufacturing. Additionally, his paper "Autonomous UAV-Based Position and 3D Reconstruction of Structured Indoor Scene" (2021, 3 citations) integrates mapping and localization into a single module, enabling accurate positioning alongside 3D scene reconstruction—a notable advance over purely vision-based methods. His research on multi-robot task allocation for mowing (2022, 1 citation) further showcases his interest in scalable, fault-tolerant systems, addressing issues like minimizing time and redundant coverage. Ma Lei’s contributions are particularly relevant for students and researchers exploring cooperative robotics, optimization algorithms, and autonomous navigation.