Anahide Silahli
Papers
1
Total Citations
2
H-Index
1
About
Dr. Anahide Silahli is a robotics researcher whose work sits at the intersection of human-robot interaction, motion planning, and programming languages. Her primary contribution is the development of a Domain-Specific Language (DSL) framework that bridges the gap between high-level human commands and low-level robot control. In her highly-cited 2024 paper, she introduced a novel system that combines a DSL with a Neural Network model, enabling users to intuitively specify and generalize complex robot trajectories without needing deep technical expertise. This work abstracts away the intricacies of traditional motion programming, making robotic systems more accessible and adaptable. While early in her career, her research has already garnered attention for its potential to democratize robot programming, particularly in collaborative and manufacturing settings. Her framework represents a significant step toward more intuitive human-robot collaboration, and her ongoing work continues to explore how language and learning can make robots more responsive and easier to command in real-world tasks.
Research Focus
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Top Papers
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