Masoud Ataei

University of Maine

Papers

1

Total Citations

2

H-Index

1

About

Masoud Ataei is a robotics researcher focused on developing accessible, socially impactful autonomous systems. His most prominent work centers on assistive robotics for elderly care, particularly through the design of low-cost mobile robots capable of autonomous search and fall detection. In his 2024 paper introducing "Omobot," Ataei addresses a critical public health challenge: detecting falls among the elderly and alerting community responders to save lives. The robot autonomously navigates indoor environments, periodically searching for the monitored individual and sending email alerts upon fall detection. This contribution is notable for its emphasis on affordability and practical deployment, making life-saving technology more accessible. With 2 citations to date, Ataei’s work represents an early but promising step toward integrating robotics into everyday safety systems. His research bridges mechanical design, autonomous navigation, and human-centered applications, demonstrating a commitment to engineering solutions that directly enhance quality of life. Ataei’s approach exemplifies how low-cost robotics can address pressing societal needs, positioning him as an emerging voice in assistive and autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Omobot: a low-cost mobile robot for autonomous search and fall detection
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Maine

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago