Gil Dekel

Papers

Total Citations

H-Index

About

Gil Dekel is a researcher at the intersection of human-robot interaction, cognitive robotics, and explainable AI. His work focuses on enabling more natural and intuitive communication between autonomous systems and their human collaborators. Dekel’s major contributions include developing a cognitively-based robot navigation system that can generate natural language explanations for its own behavior, as demonstrated in his influential paper “WHY: Natural Explanations from a Robot Navigator” (2017, 7 citations). This work addresses a critical challenge in human-robot teamwork: when a robot travels with a human companion, it must be able to articulate its decision-making process in real time. Dekel also explores perception and interaction in challenging contexts, such as his study on partially occluded hands (2019, 7 citations). Though his citation counts are modest, his research is foundational in the growing field of explainable robotics, where transparency and trust are paramount. Dekel’s work is particularly notable for grounding explanation generation in cognitive architectures, bridging the gap between low-level navigation algorithms and high-level human understanding.