Guiqiang
Papers
1
Total Citations
6
H-Index
1
About
Guiqiang’s research centers on intelligent robotics, particularly autonomous action control for soccer robots operating in dynamic, real-time environments. His most cited work, “Action Control of Soccer Robots Based on Simulated Human Intelligence” (2010, 6 citations), introduces a multi-mode control approach inspired by human perception-planning-action principles. Rather than relying on traditional PID methods, Guiqiang’s system uses character extraction to segment sensory inputs into distinct modes, then applies production rules to link different perceptions to appropriate control strategies for linear and angular velocity. This design enables robots to react swiftly and adaptively during play. Through both simulation and physical experiments with medium-sized robots, he demonstrated that his method outperforms conventional PID control in responsiveness and feasibility. While his citation count is modest, the work reflects a thoughtful, biologically inspired approach to a classic robotics challenge—bridging perception and action under real-world constraints. Guiqiang’s contribution is notable for its emphasis on human-like decision-making in autonomous systems, offering a practical framework for improving robot agility in competitive, unpredictable settings.
Research Focus
Key Achievements
Top Papers
- 1Action Control of Soccer Robots Based on Simulated Human Intelligence6 citations · 2010