Papers
3
Total Citations
31
H-Index
3
About
Yiqing Huang is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on solving complex motion planning and control challenges for mobile robots and manipulator systems. Their work bridges bio-inspired optimization algorithms and robust control theory to enhance real-time performance in uncertain environments. Huang’s most influential contributions include the development of a hybrid artificial fish swarm algorithm (HAFSA) combined with an expansion logic strategy for cooperative multi-robot path planning, enabling efficient obstacle avoidance and real-time navigation in unknown indoor settings. They also pioneered a logarithmic function adaptive artificial fish swarm algorithm that overcomes the limitations of fixed-step parameters, significantly improving global search speed and convergence. In the domain of robot manipulator control, Huang introduced a backstepping sliding mode control method integrated with a nonlinear disturbance observer, effectively addressing system nonlinearity, uncertainty, and strong interference for precise position tracking. With key papers accumulating over 30 citations, Huang’s work is recognized for advancing practical, adaptive solutions in swarm intelligence and robust control, making notable strides toward safer and more reliable autonomous systems in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3