Papers
2
Total Citations
10
H-Index
2
About
Biwei Li is a researcher specializing in multi-robot systems, cloud-assisted computing, and simultaneous localization and mapping (SLAM) technologies. Their most significant contribution is the development of a high-efficiency multi-robot SLAM system that leverages partial computing offloading to a cloud platform for enhanced point cloud registration. This work, published in 2020 and garnering 8 citations, addresses the critical challenge of computational burden in multi-robot visual SLAM by strategically distributing processing tasks between onboard robots and cloud servers. Li's earlier 2019 paper laid the foundational framework for this approach, exploring how networked robots equipped with visual sensors can cooperate autonomously in unknown environments to achieve real-time localization and mapping. By optimizing the balance between local and cloud computation, Li's research enables more scalable and responsive multi-robot systems, with potential applications in search-and-rescue, autonomous exploration, and industrial automation. Their work stands out for its practical focus on reducing latency and energy consumption while maintaining mapping accuracy, making it a valuable reference for researchers advancing cloud-robotics integration.
Research Focus
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Top Papers
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