Papers

17

Total Citations

442

H-Index

11

About

Amin Atrash is a robotics and human-robot interaction researcher whose work spans assistive technology, social robotics, and probabilistic decision-making frameworks. His research has made significant contributions to improving quality of life for individuals with disabilities, most notably through the SmartWheeler project — a robotic wheelchair system designed to enhance autonomy for people with severe mobility impairments — and its clinical validation, which together have garnered nearly 100 citations. Atrash has also advanced the field of social robotics, developing automated methods for extracting proxemic features to enable robots to recognize and respond to human social behavior, work that has accumulated over 110 citations across multiple publications. Particularly notable is his research applying humanoid robots in therapeutic settings for children with autism spectrum disorders, where his graded cueing feedback approach demonstrated meaningful clinical promise and earned 80 citations. His technical contributions extend to probabilistic planning through POMDP frameworks, Bayesian reinforcement learning for interface customization, and robust speech interfaces — reflecting a career built on making robots more intelligent, adaptive, and genuinely useful across diverse human contexts.

Research Focus

Key Achievements

11
H-Index
17
Papers
442
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Automated Proxemic Feature Extraction and Behavior Recognition: Applications in Human-Robot Interaction
82 citations · 2013
📈 Most Prolific Year: 2011 (4 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: University of Southern California, McGill University, Georgia Institute of Technology, Amazon (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago