June 15, 2014
June 15, 2014
June 18, 2014
24.924.1 - 24.924.9
Multidisciplinary Design Optimization of Robotic Football Players by Undergraduate Students from Multiple Science and Engineering ProgramsThis paper presents the multidisciplinary design optimization (MDO) and fabrication of a teamof robotic football players. The robotic team is composed of two receivers, one center, and onequarterback. Each robot has a footprint of up to 16 square inches and is up to 24 inches high. Thegame of American football is played in an enclosed arena similar to a basketball court and eachrobot is remotely controlled. The design, fabrication, and operation of the robots involvesIndiana University-Purdue University Indianapolis (IUPUI) and Butler Universityundergraduates (freshmen to seniors) majoring in STEM disciplines, including computer scienceand mechanical, electrical, and energy engineering. The students are exposed to numerousengineering design challenges, such as shock absorbent structure design, fast and dexterous robotmaneuvering, development of robust and reliable control hardware and software, and balltransfer between robots in a highly unpredictable game environment. To address thesechallenges, we adopted a collaborative optimization (CO) approach. CO is a multi-level MDOmethod, which incorporates system-level and subsystem-level optimization. Four disciplinesemerged in the course of this project, namely: (i) structures and transmission, (ii) transfermechanisms, (iii) electric boards, sensors, and circuits, and (iv) software and telecommunication.CO’s advantage over other MDO methods is that it allows disciplinary autonomy whileachieving interdisciplinary compatibility. The effectiveness of this experience is demonstratedwith the multidisciplinary design, fabrication, and operation of the IUPUI-Butler robotic footballteam in a game environment.
El-Rahaiby, A. S., & Tovar, A. (2014, June), Multidisciplinary Design Optimization of Robotic Football Players by Undergraduate Students from Multiple Science and Engineering Programs Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/22857
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