Lam Thu Bui
Papers
1
Total Citations
9
H-Index
1
About
Lam Thu Bui is a leading researcher in artificial intelligence, multi-agent systems, and evolutionary computation, with a particular focus on autonomous coordination and machine learning. Her most cited work, "Supervised deep actor network for imitation learning in a ground-air UAV-UGVs coordination task" (2017, 9 citations), addresses the complex challenge of heterogeneous multi-robot collaboration. In this study, Bui pioneered a deep learning framework enabling an Unmanned Aerial Vehicle (UAV) to autonomously support a team of Unmanned Ground Vehicles (UGVs) by learning from expert demonstrations. Her approach allows the UAV to maintain a bird’s-eye view that encompasses all UGVs, significantly improving team coordination in dynamic environments. This work exemplifies her broader contributions to integrating deep reinforcement learning with multi-agent systems, advancing practical applications in search-and-rescue, surveillance, and autonomous logistics. Bui’s research consistently bridges theoretical advances in evolutionary multi-objective optimization and neural networks with real-world robotic challenges, making her a notable figure in the field. Her publications continue to influence researchers working on imitation learning, swarm robotics, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1