Aerial images of the environment can be used by the ground vehicle to determine which regions currently beyond its sensing range are traversable. As the quadrotor hovers at high altitudes, it easily acts as an additional long-range sensor for the ground vehicle. In this project, we consider a small team of two heterogeneous, autonomous robots composed of a ground vehicle and quadrotor. Having robots work as teams to provide additional information about the terrain can help solve this problem. One of the most significant challenges in robotic navigation of previously unknown environments is the need to find efficient routes that avoid dead ends. Jehan Shalabi 1, Jacopo Banfi 2, and Nicholas Roy 2ġDepartment of Electrical & Computer Engineering,ĢDepartment of Electrical Engineering & Computer Science, Outside of academia, I enjoy playing sports and spending time with family and friends.Įfficient Ground Vehicle Navigation Using Aerial Images
My goal is to become an astronaut, a path influenced by my internship at the NASA Goddard Space Flight Center and completing the NASA L’SPACE Mission Concept Academy. in Electrical Engineering my research interests range from designing novel electronic systems to developing new navigation strategies for autonomous robotics.
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McNair scholar, I conducted research on Drone-Assisted Mobile Networking to study how to use drones to carry small cellular antennas to improve mobile network performance. Before transferring to NJIT, I graduated from Passaic County Community College at the age of 18 with an Associate of Science degree in Engineering Science. I am currently a first-generation rising senior at the New Jersey Institute of Technology majoring in Electrical Engineering.
My name is Jehan Shalabi, a proud American Arab of Palestinian descent from Paterson, New Jersey. Undergraduate Institution: New Jersey Institute of Technology MIT Department: Electrical Engineering and Computer Science
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