Dianrui Mu
Papers
8
Total Citations
108
H-Index
6
About
Dianrui Mu is a leading researcher in advanced robotics, specializing in the control of mobile robotic systems and unmanned firefighting robots. Their work addresses critical challenges in autonomous navigation and safety, particularly through adaptive control strategies that handle complex constraints like unknown dead-zone inputs, input saturation, and full-state limitations. Mu’s most-cited paper, "Adaptive full-state constrained tracking control for mobile robotic system with unknown dead-zone input" (2022, 44 citations), establishes a foundation for precise tracking under uncertainty. They have pioneered prescribed-time and predefined-time tracking control, achieving error-free performance in mobile robots and firefighting robots, as seen in their 2023 and 2024 works (17 and 14 citations, respectively). Notably, Mu developed the first system model for towed unmanned firefighting robots that accounts for both uncertainties and disturbances, a breakthrough in the field. Their research also extends to real-time flame detection and visual servoing for closed-structure robots, with recent papers in 2025 (6 and 5 citations). With over 100 total citations, Mu’s contributions are driving safer, more reliable autonomous systems in hazardous environments, making them a key figure in modern robotics.
Research Focus
Key Achievements
Top Papers
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- 8Real-time flame detection and localization for firefighting robots3 citations · 2025