Timothy Anglea
Papers
3
Total Citations
10
H-Index
2
About
Timothy Anglea is a researcher whose work sits at the intersection of cooperative control, swarm robotics, and decentralized multi-agent systems. His research focuses on developing simple, scalable strategies for coordinating groups of autonomous agents—from robot swarms to vehicle fleets—using biologically inspired pulse-coupled oscillator models. Anglea’s major contributions include pioneering a decentralized heading control method that operates under realistic rate constraints, a critical advancement for applications in surveillance, exploration, and cooperative construction. He also developed an undergraduate research platform for cooperative control and swarm robotics, helping to lower the barrier for students entering this complex field. Most recently, Anglea has explored the use of reinforcement learning to achieve optimal synchronization in pulse-coupled oscillator networks, bridging machine learning with classical dynamical systems theory. While his citation counts are still growing—with his most-cited paper reaching 5 citations—his work represents a promising trajectory in decentralized control, with potential applications ranging from autonomous vehicle coordination to neuronal response modeling.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3