Mohammed Al‐Shaboti

King Fahd University of Petroleum and Minerals

Papers

Total Citations

H-Index

About

Mohammed Al‐Shaboti is a researcher advancing the frontiers of multi-robot systems, with a focus on autonomous deployment, task allocation, and rescue operations. His work addresses critical challenges in robotics networks, where teams of robots must coordinate without human intervention in hazardous environments. In his highly cited 2016 paper, "Multi-Robot Deployment Using a Virtual Force Approach: Challenges and Guidelines" (11 citations), he provides foundational insights into optimizing robot placement for applications like search-and-rescue and environmental monitoring. Al‐Shaboti further innovates with "Multi-robot Task Allocation System: Fuzzy Auction-Based and Adaptive Multi-threshold Approaches" (10 citations), introducing intelligent, adaptive mechanisms for distributing tasks among robots. His 2015 study, "GPS-free robots deployment technique for rescue operation based on landmark's criticality" (8 citations), tackles a key limitation—navigation without GPS—by leveraging environmental landmarks to guide robots in disaster zones. Collectively, his contributions (nearly 30 citations) enhance the reliability and autonomy of robotic teams, making them more effective for life-saving missions. Al‐Shaboti’s work is essential reading for students and researchers interested in practical, scalable solutions for multi-robot coordination in real-world, high-stakes scenarios.