Shikhar Kumar

Papers

Total Citations

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About

Shikhar Kumar is an emerging researcher working at the intersection of human-robot interaction and explainable artificial intelligence. His work focuses on making robotic systems more transparent and interpretable to human users — a critical challenge as autonomous systems become increasingly integrated into everyday environments. His notable publication, "Understandable Robots" (2022), investigates how robots can generate contextually appropriate explanations tailored to different levels of human understanding, proposing frameworks for evaluating comprehensible communication between robots and their users. A distinctive feature of his research is the emphasis on time-bounded scenarios, which ground explainability studies in realistic, dynamic conditions rather than abstract settings. This approach reflects a commitment to practical, human-centered design in robotics. While still building his citation profile — with his key work accumulating 2 citations since 2022 — Kumar's research addresses one of the most pressing open problems in AI and robotics: ensuring that intelligent systems can not only perform tasks effectively, but also communicate their reasoning in ways that humans can genuinely understand and trust. His work is well-positioned to grow in influence as demand for explainable autonomous systems continues to rise.