Yanyan Dai
Papers
16
Total Citations
262
H-Index
8
About
Yanyan Dai is a robotics researcher whose work spans multi-robot systems, formation control, obstacle avoidance, and autonomous navigation. Over more than a decade of sustained contributions, Dai has established herself as a specialist in coordinating the behavior of multiple mobile robots in complex, dynamic environments. Her most influential contributions lie in formation control methodology. Her foundational work on leader-follower formation strategies for nonholonomic mobile robots (2012, 52 citations) and her priority-based switching formation approach for obstacle avoidance (2014, 61 citations) are widely recognized benchmarks in the field. She further advanced cooperative robotics through innovative caging formation techniques for transporting convex polygonal objects using fuzzy sliding mode control (2015, 40 citations), elegantly merging control theory with practical manipulation tasks. More recently, Dai has embraced cutting-edge machine learning paradigms, applying deep reinforcement learning — including Deep Q-Networks — to multi-robot navigation and path planning, and pioneering sensor fusion approaches that combine YOLOv8 with LiDAR data for robust perception in autonomous vehicles (2024, 28 citations). This evolution in her research trajectory reflects a seamless transition from classical control frameworks to intelligent, data-driven systems. Her cumulative citation record underscores her lasting influence across both traditional robotics and modern autonomous systems research.
Research Focus
Key Achievements
Top Papers
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- 2The leader-follower formation control of nonholonomic mobile robots52 citations · 2012
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- 6Sensing and Navigation for Multiple Mobile Robots Based on Deep Q-Network10 citations · 2023
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