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on a 4.5 foot tall map. The hardware was completed in September 2024, but the road is still needed, a human operator took to his ticket. Sending commands to instruct the rover on how to move over obstacles. In order to train the rover to think on its own, the artist came and turned to reinforcement learning and typed up artificial intelligence, where the robot learns by interacting with his environment. The dynamics and real-time simulation laboratory at JPL developed a hypedotechnical virtual testing environment that replicates the rover's behavior. The team said the significant data collected by engineers who documented the response of the actual rover hardware to a variety of terrain types on a high-performance computing cluster.