Tianwei Niu
Papers
2
Total Citations
8
H-Index
2
About
Tianwei Niu is a rising researcher in robotics and autonomous systems, whose work focuses on enabling safe, efficient, and real-time navigation for mobile robots in complex environments. His key research areas include trajectory planning, motion control, and sensor fusion, with a particular emphasis on handling dynamic and unstructured settings. Niu’s most notable contribution is the development of STGN (Spatio-Temporal Graph Network), a groundbreaking framework for real-time and generalizable trajectory planning that addresses the critical challenge of obstacle uncertainty—a work that has already garnered 5 citations since its 2025 publication. Additionally, his 2024 paper on sensor-enhanced hierarchical torque vector control for distributed mobile robots on slippery roads (3 citations) demonstrates his ability to bridge theoretical control methods with practical hardware constraints, improving robot stability under adverse conditions. By integrating rich sensor data into hierarchical control architectures, Niu is advancing the robustness of autonomous ground vehicles. His work is particularly impactful for students and researchers in field robotics, offering scalable solutions for real-world deployment in dynamic environments.
Research Focus
Key Achievements
Top Papers
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