University of Augsburg

🇩🇪 DE

Papers

175

Total Citations

3,510

H-Index

31

Researchers

164

About

The University of Augsburg has established itself as a compelling center for socially intelligent robotics and human-robot interaction research, with particular strength at the intersection of affective computing, machine learning, and clinical applications. The institution's work is defined by a commitment to building robots that genuinely understand and respond to human emotion, making it a leading voice in the growing field of socially aware autonomous systems. Augsburg's most celebrated contributions lie in robot-assisted therapy for children with autism spectrum disorder, where researchers have pioneered personalized machine learning approaches to perceive affect and engagement in real time. With over 250 citations, this work exemplifies the institution's ability to translate cutting-edge AI into meaningful clinical impact. Complementing this, Augsburg scholars have made foundational contributions to speech-based emotion recognition, multimodal affective expression in humanoid robots, and culturally adaptive behavior — work that collectively informs how robots can communicate authentically across diverse human contexts. The institution also pursues rich threads in reinforcement learning for social adaptation, capacitive proximity sensing for safe human-robot collaboration, and last-mile logistics robotics, demonstrating versatility beyond pure social interaction. Research on proxemics, gaze modeling, gesture-based control, and linguistic style adaptation reflects a holistic vision of human-centered robotics that is both technically rigorous and deeply human-aware. With a strong publication record spanning IEEE venues, ACM conferences, and clinical journals, Augsburg attracts researchers from computer science, psychology, and engineering alike. Prospective students and collaborators will find a uniquely interdisciplinary environment where robot intelligence is designed not just to function, but to genuinely connect.

Research Focus

Key Achievements

31
H-Index
175
Papers
3,510
Total Citations
164
Faculty & Researchers
🏆 Most Cited Paper
Personalized machine learning for robot perception of affect and engagement in autism therapy
258 citations · 2018
📊 Avg Citations/Paper: 20
📈 Most Prolific Year: 2018 (18)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Human–computer interaction, Psychology, Engineering

Top Papers

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Faculty & Researchers

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