Amin Shuaib
Papers
1
Total Citations
37
H-Index
1
About
Amin Shuaib is a researcher at the forefront of cooperative robotics and autonomous systems, with a particular focus on the synergistic integration of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). His most cited work, "A Framework for a Cooperative UAV-UGV System for Path Discovery and Planning" (2018, 37 citations), introduces a novel computer vision-based framework where aerial drones assist ground vehicles in navigating complex, unknown environments. This contribution is pivotal for advancing autonomous navigation in search-and-rescue, surveillance, and logistics, as it leverages the complementary strengths of aerial perspective and ground mobility. By enabling real-time path discovery through cooperative perception, Shuaib’s research addresses critical challenges in dynamic terrain mapping and collision avoidance. His work has been recognized for its practical impact, bridging the gap between theoretical multi-agent systems and deployable robotic solutions. With a growing citation footprint, Shuaib continues to shape the future of intelligent, cooperative autonomy, inspiring new directions in UAV-UGG coordination and vision-guided planning.
Research Focus
Key Achievements
Top Papers
- 1A Framework for a Cooperative UAV-UGV System for Path Discovery and Planning37 citations · 2018