Wenjiang Liu

Wuhan University of Technology, Guizhou University of Finance and Economics

Papers

Total Citations

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About

Wenjiang Liu is a leading researcher in robotics and intelligent systems, with a primary focus on human-cyber-physical systems (HCPS) and semantic environment perception. His most influential work, "Digital Twin-Driven Virtual Control Technology of Home-Use Robot: Human-Cyber-Physical System" (2022, 34 citations), introduces a groundbreaking interactive mechanism that seamlessly integrates physical and virtual spaces for remote robot control. This contribution advances the field of digital twin technology by enabling deep human-machine collaboration in domestic settings. Liu's second major contribution, "The Method of Static Semantic Map Construction Based on Instance Segmentation and Dynamic Point Elimination" (2021, 7 citations), addresses a critical challenge in simultaneous localization and mapping (SLAM) by enhancing mobile robots' ability to understand and interact with complex environments through high-level semantic information. His work bridges the gap between low-level sensor data and high-level human-robot interaction, improving robots' environmental comprehension. Liu's research has significant implications for smart home robotics, autonomous navigation, and human-robot collaboration, establishing him as an innovator in creating more intuitive and capable robotic systems for everyday use.