12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis And 2012
DOI: 10.2514/6.2012-5561
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Assessing Reconfigurable Design for a Chaotic Objective in a Mars Exploration Rover

Abstract: This paper presents a strategy for assessing reconfigurability at the architecture level in the design of a complex system to fulfill a chaotic objective. A hi-fidelity simulation environment is used to quickly run a myriad of test scenarios on a reconfigurable system and a more traditional alternative. Specifically, the design of a mobility system for a Mars rover is used in this assessment. Rovers provide an excellent illustration of the issue; 1) the mobility problem is one with many random variables, 2) ro… Show more

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Cited by 5 publications
(5 citation statements)
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References 15 publications
(23 reference statements)
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“…7. Examples of the sparse (above) and dense (below) rock fields used in the rover testing 10 American Institute of Aeronautics and Astronautics…”
Section: Previous Efforts Exploring Architecture-level Reconfiguramentioning
confidence: 99%
See 3 more Smart Citations
“…7. Examples of the sparse (above) and dense (below) rock fields used in the rover testing 10 American Institute of Aeronautics and Astronautics…”
Section: Previous Efforts Exploring Architecture-level Reconfiguramentioning
confidence: 99%
“…In previous work, the authors began the process of assessing rover performance against chaotic terrain 10 . This paper builds directly on this work so the highlights of that paper are presented here.…”
Section: Previous Efforts Exploring Architecture-level Reconfiguramentioning
confidence: 99%
See 2 more Smart Citations
“…Reconfigurable robots have been used in demining, undersea experiments and planetary exploration missions, such as NASA's Mars rover Curiosity [3], to reduce the risk and eliminate the physical presence of humans from hazardous environments. However, absolute replacement of humans with robots is not yet attainable due to the limited level of intelligence of existing robotic systems.…”
Section: Introductionmentioning
confidence: 99%