Da Cui

About

Da Cui is a leading researcher in the fields of wall-climbing robotics and humanoid robot safety, with a focus on designing intelligent systems that operate in high-risk environments. His major contributions include the development of negative pressure adsorption wall-climbing robots, where he pioneered the use of genetic algorithms combined with computational fluid dynamics and kriging models to optimize impeller design—work that has garnered 115 citations for his comprehensive review. He has also advanced trajectory-tracking control systems for tracked wall-climbing robots, addressing the complex nonlinear interactions between tracks and walls. In humanoid robotics, Cui has introduced bio-inspired fall arrest strategies, such as using arm stiffness ellipsoid optimization to prevent falls, and has authored a notable review on fall coping strategies. His research, cited over 160 times, directly addresses critical challenges in automation and safety, reducing risks in industrial and disaster-response applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Design and Technical Development of Wall-Climbing Robots: A Review

   115 citations · 2022
2. 2
   Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model

   17 citations · 2022
3. 3
   Research on Trajectory-Tracking Control System of Tracked Wall-Climbing Robots

   10 citations · 2023
4. 4
   Human inspired fall arrest strategy for humanoid robots based on stiffness ellipsoid optimisation

   10 citations · 2021
5. 5
   Multi-body dynamics model of crawler wall-climbing robot

   7 citations · 2022
6. 6
   A Review of Fall Coping Strategies for Humanoid Robots

   3 citations · 2025
7. 7
   An Upper Limb Fall Impediment Strategy for Humanoid Robots

   2 citations · 2020

Key Collaborators

Contact & Links