Papers

1

Total Citations

12

H-Index

1

About

Yasser El-Shaer is a robotics researcher dedicated to developing assistive technologies for the elderly, with a focus on path-planning and fall-detection systems. His most-cited work, "New Eldercare Robot with Path-Planning and Fall-Detection Capabilities" (2024, 12 citations), introduces a novel robotic platform designed to address two critical challenges in aging populations: safe navigation and immediate fall response. By integrating real-time environmental mapping with sensor-based fall alerts, El-Shaer’s robot offers a practical solution for enhancing independence and safety among older adults. This contribution stands out for its dual-purpose design, bridging the gap between mobility assistance and emergency detection—a combination rarely achieved in existing eldercare robots. Though early in his career, El-Shaer’s work signals a promising trajectory in human-robot interaction and healthcare robotics, with potential to reduce caregiver burden and improve quality of life for seniors. His research reflects a growing emphasis on user-centered, low-cost assistive technologies, positioning him as an emerging voice in the field of gerontechnology.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
New Eldercare Robot with Path-Planning and Fall-Detection Capabilities
12 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Arab Academy for Science, Technology, and Maritime Transport

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago