Papers
2
Total Citations
15
H-Index
2
About
Shuliang Zhang is a robotics researcher specializing in indoor mobile robot navigation and multi-sensor fusion systems. His work addresses the critical challenge of self-positioning in GPS-denied environments, where traditional satellite signals are unavailable. Zhang’s most influential contribution, "Self-Positioning for Mobile Robot Indoor Navigation Based on Wheel Odometry, Inertia Measurement Unit and Ultra Wideband" (2021, 10 citations), proposes a novel method that integrates wheel odometry, inertial measurement units, and ultra-wideband technology to achieve accurate localization in complex indoor spaces. This approach significantly improves navigation reliability where conventional methods fail. His complementary work, "Research on Omnidirectional Indoor Mobile Robot System Based on Multi-sensor Fusion" (2021, 5 citations), develops a complete robotic system combining omnidirectional mobility with sensor fusion to overcome obstacles, narrow passages, and low accuracy in indoor environments. Zhang’s research is particularly valuable for applications in warehouses, hospitals, and smart buildings where autonomous robots must operate without GPS. By advancing sensor fusion techniques and robust positioning algorithms, he is helping to make indoor mobile robots more practical and dependable for real-world deployment.
Research Focus
Key Achievements
Top Papers
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