Papers
15
Total Citations
111
H-Index
7
About
Shigang Cui is a pioneering roboticist whose research bridges mobile robotics, bionic sensing, and intelligent control systems. His most impactful work centers on odor plume tracing—developing methodologies that enable mobile robots to locate chemical sources in complex airflow environments. His 2011 study on speed limitations and tracing methodologies in varying wind conditions (20 citations) laid foundational principles, while his 2015 Surge-S algorithm (10 citations) introduced a bionic approach for outdoor time-varying environments, mimicking biological olfactory strategies. Beyond chemical sensing, Cui has advanced robot-assisted surgery with a master-slave Kalman filter approach for heart motion compensation (10 citations), demonstrating versatility across medical robotics. His contributions extend to educational technology, notably a remote laboratory system for robotics courses (15 citations), which proved vital during the COVID-19 pandemic. Cui has also explored fuzzy control for obstacle avoidance (10 citations), neural network-based PID control for target tracking (8 citations), and even brain-computer interfaces for aerospace applications (7 citations). With over 95 total citations across his most-cited works, Cui’s research demonstrates a consistent focus on making robots more autonomous, perceptive, and adaptable—from tracing invisible plumes in the wind to stabilizing surgical instruments on a beating heart.
Research Focus
Key Achievements
Top Papers
- 1
- 2Remote Laboratory as an Educational Tool in Robotics Experimental Course15 citations · 2022
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- 7Brain-computer interface based camera carrier in aerospace7 citations · 2009
- 8Mobile Robot Map Building Based on Grid Arrangement6 citations · 2009
- 9Design and Path Planning for a Remote-Brained Service Robot5 citations · 2007
- 10Research of Tracking Models Based on SURF4 citations · 2010