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About

Aditya Kapoor is an emerging researcher working at the intersection of robotics, computer vision, and artificial intelligence, with a particular focus on autonomous systems, social navigation, and multi-agent planning. His work addresses some of the most practical and challenging problems in modern robotics, spanning both real-world deployment and theoretical advancement. Among his notable contributions, Kapoor developed a concept-based anomaly detection system for retail environments, enabling mobile robots to autonomously identify and correct misplaced inventory — a significant step beyond traditional planogram-based approaches, earning 5 citations. He also contributed to SocNavGym, a reinforcement learning simulation environment designed to train robots for socially compliant navigation in human-populated spaces, reflecting growing interest in human-robot interaction. His research on long-horizon planning for multi-agent robots in partially observable environments further demonstrates his range, tackling one of the field's most complex coordination challenges. With citations accumulating across multiple venues since 2023, Kapoor represents a promising voice in the robotics research community. His interdisciplinary approach — blending perception, planning, and learning — positions him as a researcher to watch as autonomous systems become increasingly integrated into everyday life.