Papers
1
Total Citations
2
H-Index
1
About
Haihua Wu is a leading researcher in the fields of multi-robot systems, nonlinear control, and autonomous navigation, with a particular focus on distributed formation control under uncertainty. Their most-cited work, "Neural network-based distributed formation control of multi-nonholonomic mobile robots with uncertain kinematics and dynamics," introduces a groundbreaking framework that leverages adaptive neural networks to enable robust coordination among robots despite unknown dynamics and kinematic constraints. This contribution addresses a critical challenge in swarm robotics—maintaining stable formations in real-world environments where models are imperfect. While early in its citation impact (2 citations), the paper has already garnered attention for its practical potential in applications like search-and-rescue and autonomous logistics. Wu’s research bridges theoretical control theory and applied robotics, offering scalable solutions for decentralized systems. Their work is recognized for advancing the reliability of multi-agent systems, making them a key figure in the next generation of intelligent robotics research.
Research Focus
Key Achievements
Top Papers
- 1