Liujing Wang
Papers
1
Total Citations
2
H-Index
1
About
Liujing Wang’s research focuses on the intersection of multi-robot systems, cooperative-competitive dynamics, and resilient communication in complex environments. In their most-cited work, "Networked Multi-robot Collaboration in Cooperative–Competitive Scenarios Under Communication Interference" (2021), Wang addresses a critical challenge in robotics: how teams of autonomous agents can maintain effective collaboration while competing for resources and contending with disrupted or adversarial communication links. This contribution is particularly relevant for applications in disaster response, autonomous surveillance, and industrial automation, where reliable coordination is often compromised by environmental interference. Although the paper has garnered 2 citations to date, its conceptual framework—balancing cooperation and competition under constrained networking—marks a foundational step toward more robust, real-world multi-agent systems. Wang’s work is notable for bridging theoretical game theory with practical robotic implementation, offering insights that could shape future algorithms for distributed decision-making. As the field of networked robotics grows, Wang’s research stands as a valuable reference for engineers and researchers seeking to design teams of robots that can think and act together, even when the lines between ally and competitor blur.
Research Focus
Key Achievements
Top Papers
- 1