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About

Siddhartha Banerjee is a robotics and artificial intelligence researcher whose work sits at the intersection of human-robot interaction, explainable AI, and autonomous decision-making. His most impactful contributions center on making robotic systems more transparent and socially intelligent when operating alongside humans in everyday environments. Banerjee's most cited work, "Explainable AI for Robot Failures" (2021, 89 citations), addresses a critical challenge in robotics: when robots inevitably fail, how can they generate meaningful explanations that help humans assist in recovery? This line of research has positioned him as a notable voice in the explainable AI space, with multiple follow-up studies reinforcing the practical significance of fault recovery communication between robots and users. Beyond explainability, Banerjee has made meaningful contributions to robot interruptibility, developing the first interruptibility-aware mobile robot system that uses social and contextual cues to determine appropriate moments for human interaction — work that has accumulated over 30 citations across related publications. His research further spans sequential decision-making for robot manipulation and reinforcement learning toolkits, demonstrated through projects like ORSuite. Together, his portfolio reflects a consistent commitment to building robots that are not only capable, but socially aware and understandable to the humans who rely on them.