11/21/2023 0 Comments Lunar roverThe software team works on simulation of the moon environment and on training reinforcement learning algorithms. We employ reinforcement learning as a tool to minimize the cost of extracting minerals. For instance, rovers need to avoid mining in shadowed regions for extended periods of time, reroute for battery charging and storing collected resources, and communicate with each other to maximize coverage. However, extraction of these resources is incredibly difficult. Subsurface metals and water on the moon can be used to build tools for a habitable extraterrestrial environment, and can be used to refuel rockets. We are part of the larger AI Rover team, which under the guidance of NASA AMES is developing the algorithms that will be deployed on the Mechanical Rover team’s physical lunar rover intended for exploration and resource extraction.Īn autonomous rover system deployed on the moon could be used to mine resources. Our mission is to develop robust, artificially intelligent systems which can control a rover without human input. The Autonomous Rover team at STAC works on solving that problem. This vastly slows down exploration, and the dependence on human control limits the scale with which space agencies can deploy rovers. Every movement is decided upon by a human on Earth and transmitted through space – a 7-minute-long journey to reach a rover on Mars – before the rover can perform the motion. A resource rover is an extraterrestrial vehicle used for space exploration as well as resource extraction on various celestial bodies.Įxploration rovers are a staple of modern space exploration, but come with a major caveat: they are dependent on constant human control.
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