Samira Ghodratnama
Papers
1
Total Citations
4
H-Index
1
About
Samira Ghodratnama is a researcher at the intersection of artificial intelligence, human-robot interaction, and explainable AI (XAI). Her work focuses on enabling AI agents to generate hierarchical explanations for planning tasks within human-robot teaming frameworks, a critical challenge for fostering trust and collaboration. In her most-cited paper, "Are We On The Same Page? Hierarchical Explanation Generation for Planning Tasks in Human-Robot Teaming using Reinforcement Learning" (2020, 4 citations), she addresses the imperative for AI systems to provide rationale behind their decisions while managing the cognitive load of human teammates. This contribution advances the design of adaptive, context-aware explanations that align with human understanding, bridging gaps in shared mental models. Ghodratnama’s research has implications for autonomous systems, collaborative robotics, and decision-support tools, where transparent communication is key. Though early in her career, her work signals a commitment to making AI more interpretable and team-oriented, laying groundwork for safer, more effective human-machine partnerships in complex environments.
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Top Papers
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