2008
DOI: 10.1109/aero.2008.4526241
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An Autonomy Architecture for Aerobot Exploration of the Saturnian Moon Titan

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Cited by 3 publications
(2 citation statements)
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“…The upper and lower bounds represent the acceptable range of stochastic or incomplete information in regards with each of the parameters in Equation (31) and should result in the probability of β„™[𝑃 π‘›π‘œπ‘› (𝑋) > 1] ≀ πœ– which is the state for the system not to fail in achieving self-powered condition. We also require πœ–=0 in this problem which results in 𝑃 π‘›π‘œπ‘› ≀1.…”
Section: Self-powered Trajectory Trackingmentioning
confidence: 99%
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“…The upper and lower bounds represent the acceptable range of stochastic or incomplete information in regards with each of the parameters in Equation (31) and should result in the probability of β„™[𝑃 π‘›π‘œπ‘› (𝑋) > 1] ≀ πœ– which is the state for the system not to fail in achieving self-powered condition. We also require πœ–=0 in this problem which results in 𝑃 π‘›π‘œπ‘› ≀1.…”
Section: Self-powered Trajectory Trackingmentioning
confidence: 99%
“…Aerobots offer "modest power requirements, extended mission duration and long traverse capabilities, and the ability to transport and deploy scientific instruments and in-situ laboratory facilities over vast distances" [30]- [32].…”
Section: Introductionmentioning
confidence: 99%