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Trey Smith, Susan Y. Lee, Liam Pedersen, Hadayat Seddiqi, Nathalie A. Cabrol, Edmond A. Grin, Ralph Lorenz, Jeffrey Moersch, Eric MacLennan, Victor Parro, Eric Wartenweiler Smith, Pablo Sobron, Cristian Tambley, Cody Thompson, and David S. Wettergreen. In Proc. Lunar Planet. Sci. Conf. (LPSC), 2014.
The PLL robotic probe, an analog to future probes on the lakes and seas of Titan, autonomously learns about its environment, and uses that information to focus its limited resources on the most relevant phenomena, improving science impact. Autonomy is particularly compelling for Titan missions, where round trip com-munication delay to Earth is over two hours and limited power tightly constrains downlink data volume. Our general approach is to enable the robot to learn probabilistic models of the environment that improve over time, and use those models to sample at the most interesting times and places, downlink the most interesting samples, and further reduce data volume through smart compression.
@InProceedings{smith14:lpsc_pll_adaptive_science,
author = {Trey Smith and Susan Y. Lee and Liam Pedersen and Hadayat Seddiqi and Nathalie A. Cabrol and Edmond A. Grin and Ralph Lorenz and Jeffrey Moersch and Eric MacLennan and Victor Parro and Eric Wartenweiler Smith and Pablo Sobron and Cristian Tambley and Cody Thompson and David S. Wettergreen},
title = {Planetary Lake Lander: Adaptive Science Initial Results},
booktitle = {Proc. Lunar Planet. Sci. Conf. (LPSC)},
year = 2014
}
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