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AE Team Will Compete in RASC-AL Competition

Friday, March 7, 2014

A team of graduate students from the Aerospace Engineering Department will compete at the 2014 RASC-AL competition in Cocoa Beach, FL, in June.

Ghassan Atmeh, Pavan Nuthi, Laura Henderson, Alok Rege, Ameya Godbole, Paul Quillen, Varun Pathakamudi, and Pengkai Ru will present their project, titled “SMIRFF: Smart Maintenance, Inspection, and Repair Free-Flyer” in the Tele-operated Robot Theme, one of four universities to do so.

Other finalists in the RASC-AL Forum include teams from the University of Maryland, the University of Illinois-Urbana-Champaign, Virginia Tech, Drexel, West Virginia University, and the University of Colorado-Boulder.

The competition stresses synergistic applications of NASA’s planned current missions and the combination of innovative technologies to support crewed and robotic space exploration.

According to the National Institute of Aerospace:

Revolutionary Aerospace Systems Concepts - Academic Linkage (RASC-AL) is a student design competition that is sponsored by NASA and managed by the National Institute of Aerospace.  RASC-AL was formed to provide university-level engineering students with the opportunity to design human scale architecture concepts based on NASA engineering challenges as well as offer NASA access to new research and design projects by students.

RASC-AL is open to undergraduate and graduate university-level students studying fields with applications to human space exploration (i.e., aerospace, bio-medical, electrical, and mechanical engineering; and life, physical, and computer sciences).  RASC-AL projects allow students to incorporate their coursework into real aerospace design concepts and work together in a team environment. Interdisciplinary teams are encouraged.

Through RASC-AL, student teams and their faculty advisors will work to develop mission architectures to employ innovative solutions in response to one of three themes: Enabling Long Duration Missions through Holistic Habitat Design, Human Assisted Sample Return, and Tele-operated Robot.

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