Papers
4
Total Citations
20
H-Index
3
About
Wenwen Zhang is a leading researcher in multi-robot systems, with a primary focus on distributed coordination, autonomous hunting, and dynamic following in unstructured environments. Her work addresses fundamental challenges in multi-robot cooperation under limited communication and local sensing constraints. Zhang’s most cited paper, "A Distributed Hunting Approach for Multiple Autonomous Robots" (2013, 12 citations), introduces a novel framework that integrates visual, encoder, and sonar data within a robot’s local frame to enable effective target pursuit without a global map. Her 2009 and 2010 studies further advance multi-robot dynamic following and target pursuit, proposing multi-mode control strategies—including arrival, rotation adjustment, following, obstacle avoidance, and random search—that reduce reliance on inter-robot communication. Notably, her 2010 work on hybrid wireless sensor networks extends these principles to coordinated target pursuit in sensor-rich environments. With a cumulative citation count of 20 across her key publications, Zhang’s contributions are particularly valued for their practical applicability in search-and-rescue, environmental monitoring, and autonomous exploration. Her emphasis on local sensing and modest communication makes her approaches highly scalable and robust, offering foundational insights for students and researchers working on decentralized multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1A Distributed Hunting Approach for Multiple Autonomous Robots12 citations · 2013
- 2
- 3A Multi-robot Dynamic Following Approach Based on Local Sensing3 citations · 2010
- 4