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20222024
most citedScientific Exploration of Challenging Planetary Analog Environments with a Team of Legged Robots

116 citations · 136 across the 3 of their papers we have counts for

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cs.LG2022★ 15 cited

Using Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars

Kiri L. Wagstaff, Ingrid J. Daubar, Gary Doran +5

The current inventory of recent (fresh) impacts on Mars shows a strong bias towards areas of low thermal inertia. These areas are generally visually bright, and impacts create dark…