Abdalla Gad

About

Abdalla Gad is a robotics researcher whose work sits at the intersection of autonomous navigation, assistive technology, and agricultural automation. His most impactful contribution is a comprehensive survey on multiple object tracking for robotic applications (33 citations), which has become a key reference for researchers developing reliable perception systems for autonomous guidance. Gad’s commitment to socially impactful robotics is evident in his pioneering work on AI-powered service robots designed to enable independent shopping experiences for elderly and disabled individuals (18 citations), addressing a critical gap in inclusive technology. He has also advanced infrastructure maintenance with a novel pavement crack detection system using coordinated drone and ground robot teams (12 citations), demonstrating innovative multi-robot collaboration. In agricultural robotics, Gad has developed deep transfer learning systems for date fruit classification (4 citations), contributing to smart harvesting solutions. His research consistently bridges theoretical advances in computer vision and multi-agent systems with real-world applications in service robotics, infrastructure monitoring, and precision agriculture, making him a rising figure in applied autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Multiple Object Tracking in Robotic Applications: Trends and Challenges

   33 citations · 2022
2. 2
   AI-Powered Service Robotics for Independent Shopping Experiences by Elderly and Disabled People

   18 citations · 2021
3. 3
   Novel pavement crack detection sensor using coordinated mobile robots

   12 citations · 2025
4. 4
   Date Fruit Classification System using Deep Transfer Learning

   4 citations · 2023

Key Collaborators

Contact & Links