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We address the problem of adaptive information-optimal data collection in time series. Here a remote sensor or explorer agent throttles its sampling rate in order to track anomalous events while obeying constraints on time and power. This problem is challenging because the agent has limited visibility — all collected datapoints lie in the past, but its resource allocation decisions require predicting...
Robotic explorers must be capable of autonomous navigation into unknown terrain as well as autonomous science to interpret their observations to guide exploration. In this research we have created a robot able to select science features, direct instruments, collect observations, build maps, and interpret this information to plan actions. We report on field experiments in California's Amboy Crater...
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