Guochen Niu
Papers
9
Total Citations
78
H-Index
5
About
Guochen Niu has pioneered the development of continuum robots for the high-stakes task of aircraft fuel tank inspection—a domain where confined, explosive environments demand extreme precision and safety. His core research spans continuum robot design, path planning, and motion control, with a focus on enabling these hyper-redundant, cable-driven robots to navigate cluttered, unstructured spaces. Niu’s major contributions include a collision-free path planning method based on region clipping (21 citations) and a path-fitting approach that addresses the complex kinematics of continuum robots (17 citations). He also introduced a novel robot design using Rzeppa universal joints (13 citations) and a fuzzy-logic-based attitude control system (6 citations). Beyond continuum robotics, his work on an improved Q-learning algorithm with an exploration region expansion strategy (6 citations) and a Bezier-curve-based stabilization method for nonholonomic mobile robots (3 citations) demonstrates versatility in reinforcement learning and control theory. Notably, his research on robot emotion generation and decision-making models (3 citations) hints at a broader interest in human-robot interaction. With over 70 total citations, Niu’s work is foundational for robotic inspection in hazardous environments, directly impacting aircraft maintenance efficiency and safety.
Research Focus
Key Achievements
Top Papers
- 1
- 2Path Planning of Continuum Robot Based on Path Fitting17 citations · 2020
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- 5
- 6A Novel Design of Aircraft Fuel Tank Inspection Robot5 citations · 2013
- 7Path planning for continuum robot based on target guided angle4 citations · 2013
- 8
- 9Robot Emotion Generation and Decision-making Model Construction Based on Personality3 citations · 2011