Xueming Zhang
Papers
1
Total Citations
6
H-Index
1
About
Xueming Zhang is a rising researcher in networked multi-robot systems, with a focus on adaptive formation control and communication-delay mitigation. His most-cited work, "Data-driven adaptive formation control based on preview mechanism for networked multi-robot systems with communication delays" (2024, 6 citations), introduces a novel preview mechanism that enables robots to anticipate and compensate for delays in real-time coordination. This contribution addresses a critical bottleneck in swarm robotics—maintaining stable formations under unreliable network conditions—by combining data-driven adaptation with predictive control. Zhang’s approach reduces reliance on precise system models, making it scalable for heterogeneous robot teams. Though early in his career, his work has already garnered attention for its practical relevance to autonomous logistics, search-and-rescue, and industrial automation. By integrating preview control with adaptive algorithms, Zhang offers a pathway to more resilient multi-agent systems, positioning him as a promising voice in the intersection of robotics, control theory, and networked systems.
Research Focus
Key Achievements
Top Papers
- 1