Abdul Qayyum

Université de Bourgogne, Imperial College London, Centre National de la Recherche Scientifique

Papers

Total Citations

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About

Abdul Qayyum is a robotics researcher whose work bridges human-robot interaction and autonomous construction systems. His primary research areas include affective computing, child-computer interaction, and robotic automation for real-world tasks. Qayyum’s most cited work, “Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child–computer Interaction” (2022, 6 citations), tackles the challenge of enabling robots to interpret human emotions naturally, aiming to make human-robot interaction more intuitive and genuine. This work has implications for affective robots and autonomous systems that must respond to human cues. Beyond emotion recognition, Qayyum has contributed to construction robotics with “A Floor Tiling Robotic System” (2025, 2 citations), which leverages advances in sensor and robot technology to improve efficiency and safety in the construction industry. He has also developed an “Autonomous Table Tennis Ball Retrieving Robot” (2023, 2 citations), addressing a practical need in sports training environments. Through these projects, Qayyum demonstrates a commitment to creating robots that operate alongside humans in both social and industrial settings, with a focus on autonomy and real-world applicability. His work continues to influence the development of more capable and responsive robotic systems.