Zhiguang Feng
Papers
1
Total Citations
2
H-Index
1
About
Zhiguang Feng is a rising researcher in robotics and multi-agent systems, whose work focuses on adaptive, risk-aware coordination under adversarial conditions. His most-cited paper, "Adaptive Risk-Aware Multi-Target Tracking and Monitoring With Network Reconfiguration" (2025), addresses a critical challenge: enabling heterogeneous robot teams to track adversarial targets that can attack robots and disrupt sensor communication links. Feng’s major contribution lies in developing algorithms that allow robots to dynamically reconfigure their network and adjust tracking strategies in real time, balancing mission performance against the risk of attack. This work has already garnered early citations, signaling its relevance to the growing field of resilient autonomous systems. By tackling the intersection of target tracking, network resilience, and risk awareness, Feng is helping to lay the groundwork for safer, more robust multi-robot deployments in hostile or uncertain environments. His research is particularly valuable for students and engineers working on defense, surveillance, or search-and-rescue applications where robots must operate without guaranteed connectivity or safety.
Research Focus
Key Achievements
Top Papers
- 1