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Autonomous Food Production
Nikolaus Correll
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Nikolaus Correll
University of Colorado Boulder


Short Description
Growing food in space will not only allow us to extend the length of future missions in space, but also significantly increase the astronauts' well-being. The proposed research focus on the fundamental sensing and manipulation challenges of automating parts of the operations of in-space greenhouses to facilitate tele-operation. Specifically, we are investigating machine learning techniques to extract the growth stage of plants from a combination of volumetric, color, and infrared data, and novel algorithms for manipulating flexible structures using two arms, much like a human gardener does when picking a fruit.

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