Papers
1
Total Citations
2
H-Index
1
About
Xueli Wu’s research centers on distributed control and state estimation for multi-agent robotic systems, with a particular focus on achieving coordinated behavior without relying on conventional sensors. In their most-cited work, “Distributed containment control and state observer design for multi-agent robotic system” (2015, 2 citations), Wu tackles the challenge of guiding a group of robots into a region defined by stationary leaders. The key innovation is a position-sensorless control strategy that leverages binocular visual servo and feedback dissipative Hamilton theory, enabling robots to estimate their states and positions through visual input alone. This approach reduces hardware dependency and enhances system robustness. While the citation count is modest, the work contributes to the broader field of sensorless, vision-based control, offering a practical pathway for deploying multi-agent systems in environments where traditional sensors are impractical. Wu’s research is valuable for students and engineers exploring distributed robotics, particularly those interested in merging visual perception with nonlinear control theory to achieve autonomous coordination.
Research Focus
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