Sayeh Bayat
Papers
1
Total Citations
8
H-Index
1
About
Sayeh Bayat is a leading researcher in swarm robotics, with a focus on designing accessible, high-performance platforms for studying collective behaviors. Her most-cited work introduces the milli-robot-Toronto, a millirobot built entirely from off-the-shelf components, enabling complex swarm-behavior experiments—including human–swarm interaction and swarm-topology estimation. This contribution is pivotal for democratizing swarm robotics research, allowing labs with limited resources to test advanced algorithms. With 8 citations on this key paper, Bayat’s impact is growing as her platform gains traction in the field. Her work bridges the gap between theoretical swarm intelligence and practical, low-cost hardware, making her a notable figure in the development of scalable robotic systems. Bayat’s achievements highlight her commitment to open, reproducible science, and her millirobot design stands as a foundational tool for future studies in autonomous collective behavior.
Research Focus
Key Achievements
Top Papers
- 1