Shihab Uddin Ahamad

University of Maine

Papers

1

Total Citations

2

H-Index

1

About

Shihab Uddin Ahamad is a robotics researcher whose work centers on developing affordable, autonomous systems for real-world assistive applications. His primary research areas include mobile robotics, human-robot interaction, and low-cost automation for healthcare. Ahamad’s most notable contribution is the design and development of “Omobot,” a low-cost mobile robot introduced in 2024 for autonomous search and fall detection among the elderly. This system periodically navigates a home environment to locate the person being monitored and, upon detecting a fall, automatically sends an email alert to designated community responders. By prioritizing affordability and practical deployment, Ahamad’s work addresses a critical need in aging populations, where timely fall detection can save lives. While his citation count is still growing—reflecting the recency of his contributions—the Omobot project has already garnered attention for its potential to bridge gaps in elderly care through accessible robotics. Ahamad’s research exemplifies how thoughtful engineering can create scalable solutions that empower communities and enhance safety.

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 · 12 days ago