Humera Noor Minhas
Papers
2
Total Citations
15
H-Index
2
About
Humera Noor Minhas is a robotics researcher whose work sits at the intersection of computer vision, human-robot interaction, and intelligent automation. Her research focuses on enabling robots to better perceive, interpret, and respond to human behavior and their physical environment. In her highly cited 2017 work, Minhas demonstrated that integrating gaze—a first-person perspective—with third-person observations significantly improves a robot’s ability to infer human intentions and actions. This neuro-inspired approach to semantic representation offers a more nuanced pathway for robots to collaborate naturally with people. More recently, Minhas has applied state-of-the-art deep learning to practical automation challenges. Her 2024 study on YOLOv5-powered robotic arms for waste classification showcases her commitment to enhancing both efficiency and safety in industrial settings, contributing to the global shift toward digital, human-light solutions. With her work bridging cognitive modeling and real-world deployment, Minhas is contributing to a future where robots are not only more perceptive but also more useful in everyday environments.
Research Focus
Key Achievements
Top Papers
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