Du Jing

China North Industries Group Corporation (China)

Papers

Total Citations

H-Index

About

Du Jing’s research lies at the intersection of swarm robotics, target search, and group decision-making, with a focus on enabling autonomous robot teams to locate targets efficiently under real-world constraints. Her major contributions include integrating group decision-making mechanisms with particle swarm optimization (PSO) to accelerate swarm robotic search, as demonstrated in her most-cited work (2012, 10 citations). She also pioneered approaches for controlling wheeled mobile robots with non-holonomic kinematic constraints during target search (2009, 4 citations), bridging the gap between idealized particle swarms and physically realistic robots. Additionally, Du advanced target position estimation using relative localization in swarm systems (2012, 4 citations), where robots leverage both individual knowledge and collective experience to improve search speed. Her work is notable for addressing practical challenges in wireless sensor networks and RSSI-based localization, showing how information from as few as three nodes can guide search. While her citation counts reflect a focused, early-career impact, Du’s research provides foundational insights for designing scalable, decentralized swarm systems that balance communication constraints with search performance—a critical step toward deploying robot swarms in real-world environments like disaster response or exploration.