Mohammad Al-Rousan

Jordan University of Science and Technology

Papers

Total Citations

216

H-Index

About

Mohammad Al-Rousan is a pioneering researcher whose work bridges the gap between classical robotics and cutting-edge bio-nanotechnology. His primary research areas include mobile robot navigation, reinforcement learning, and bio-inspired nanorobotics. Al-Rousan’s most influential contribution is his 2010 paper on reinforcement-based mobile robot navigation in dynamic environments, which has garnered over 210 citations. This work established foundational algorithms for enabling autonomous robots to adapt to unpredictable surroundings, a critical advancement for real-world applications like search-and-rescue and industrial automation. In a bold interdisciplinary leap, Al-Rousan also explored the use of living biological systems as nanorobots. His 2011 study on *E. coli* (AW405) as a self-navigating sensor for diseases, though with 6 citations, represents a visionary step toward harnessing bacterial chemotaxis for medical diagnostics. By experimentally characterizing the swimming behavior of these cells and developing a simulator for their locomotion, he laid early groundwork for bio-hybrid systems that could one day navigate the human body to detect and treat diseases. Al-Rousan’s work exemplifies how insights from macro-scale robotics can inspire innovations at the nanoscale, making him a notable figure in both autonomous systems and bioengineering.