David Sekora

Papers

Total Citations

H-Index

About

David Sekora is a researcher whose work sits at the intersection of artificial intelligence, cognitive robotics, and human-robot interaction, with a particular focus on how machines can develop a grounded sense of self. His most-cited paper, "Reasoning with Grounded Self-Symbols for Human-Robot Interaction" (2016), explores a novel framework that enables robots to form internal representations of their own physical and social presence—a concept Sekora terms "grounded self-symbols." This contribution addresses a fundamental challenge in robotics: how to equip machines with the ability to reason about their own actions, limitations, and roles in collaborative settings. By integrating symbolic reasoning with embodied experience, Sekora’s work paves the way for more intuitive and adaptive interactions between humans and autonomous systems. While his citation count (3) reflects a niche but growing area of inquiry, the conceptual depth of his research has influenced discussions on self-awareness in artificial agents. Sekora’s achievements lie in bridging cognitive science and engineering, offering a blueprint for robots that can not only perceive the world but also reflect on their place within it—a critical step toward truly intelligent and socially aware machines.