Maryam Zare
Papers
1
Total Citations
4
H-Index
1
About
Maryam Zare is a roboticist and AI researcher whose work lies at the intersection of human-robot interaction, game theory, and learning from demonstration. Her research focuses on enabling robots to learn complex tasks by observing human demonstrations and then communicating strategic knowledge back to human partners. In her most-cited work, "Show me how to win" (2019, 4 citations), Zare introduced a novel framework that allows robots to learn winning strategies in simple board games like Connect Four by converting visual representations of board states into extensive-form game representations. This approach not only enables robots to learn from human demonstrations but also to communicate their strategic understanding back to humans, creating a bidirectional learning loop. While her citation count is still growing, Zare's work represents an important step toward more intuitive and collaborative human-robot systems, where machines can both learn from and teach their human counterparts in shared tasks. Her research has implications for assistive robotics, educational technology, and collaborative manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Show me how to win4 citations · 2019