Rebecca Li
Papers
2
Total Citations
29
H-Index
2
About
Rebecca Li is a pioneering researcher in multi-robot systems, with a focus on decentralized coordination, coverage control, and swarm intelligence. Her most impactful work, "Coverage Control in Multi-Robot Systems via Graph Neural Networks" (2022, 22 citations), introduces a novel decentralized approach that enables teams of robots with limited sensing ranges to dynamically position themselves for optimal event detection in regions of varying importance. This contribution bridges graph neural networks and robotics, offering scalable solutions for real-world sensor coverage challenges. Li also explores the design and deployment of swarms of inexpensive heterogeneous micro aerial vehicles (2021, 7 citations), advancing cost-effective aerial robotics for environmental monitoring and disaster response. Her research emphasizes practical, scalable algorithms that reduce computational and communication overhead, making multi-robot systems more accessible. With a growing citation record and a focus on integrating machine learning with robotics, Li’s work is shaping the future of autonomous, collaborative robot teams. Her achievements highlight a commitment to solving complex coordination problems, positioning her as a rising leader in the field.
Research Focus
Key Achievements
Top Papers
- 1Coverage Control in Multi-Robot Systems via Graph Neural Networks22 citations · 2022
- 2Swarm of Inexpensive Heterogeneous Micro Aerial Vehicles7 citations · 2021