Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
The AI and Social Robotics Lab at the University of Denver, led by Mohammad H. Mahoor, conducts research at the intersection of AI, computer vision, and socially assistive robotics to embed emotional intelligence in technology and improve human-robot interaction. The lab creates large-scale affective computing datasets, including AffectNet and AffectNet+, for facial expression recognition and continuous valence–arousal modeling, comprising over a million images with soft labels, metadata, and demographic attributes to support fairness and robustness studies. The site presents ongoing and past research projects, publications, and news, emphasizing datasets, tools, and applications in AI, robotics, and human–machine interaction.
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Sources
arxiv.org shapes more of what AI says about AffectNet than any other source, at 100% of its citations.