Papers
43
Total Citations
613
H-Index
13
About
Jianqiang Yi is a versatile robotics and control systems researcher whose work spans intelligent control, mobile robotics, multi-agent systems, and the fascinating intersection of automation with cultural heritage. His most influential contribution, a fuzzy-based computed torque controller for uncertain robotic manipulator systems (2005, 164 citations), established him as a significant voice in robust intelligent control, addressing the longstanding challenge of handling system uncertainties in robotic manipulation. Yi has made notable advances in omnidirectional wheeled mobile robotics, developing integrated motion and internal force control schemes, and contributed to teleoperation systems enabling Internet-based robot control. His work on hierarchical sliding mode control for underactuated systems like the Pendubot demonstrates a strong command of nonlinear control theory. More recently, Yi has embraced deep reinforcement learning, producing impactful research on multi-agent formation control with collision avoidance and connectivity-guaranteed multi-target coverage. Among his most distinctive contributions is pioneering work on Chinese character calligraphy robotics — extracting brushstroke trajectories and enabling robot arms to replicate classical calligraphy techniques — bridging engineering with cultural preservation. Yi's broad yet coherent research trajectory reflects a sustained commitment to advancing autonomous, intelligent robotic systems across diverse and challenging environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Motion and Internal Force Control for Omnidirectional Wheeled Mobile Robots45 citations · 2009
- 3Extracting the trajectory of writing brush in Chinese character calligraphy38 citations · 2004
- 4Hierarchical Sliding Mode Control to Swing up a Pendubot33 citations · 2007
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- 8Particle Swarn Optimized Adaptive Dynamic Programming21 citations · 2007
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