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Main screen
The main screen shows the status of the robot and its training.
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Display of the robot’s camera. Representation of the robot to visualize the sensors that are activated. The sensors of the robot activated. These are the inputs of the neural network. The neural network. You can see its evolution in real time (yellow/blue transmission of positive/negative activity; green/red: reinforcement/decrease of the connections during learning). The thickness of the lines is proportional to the weight of the connection. The possible actions for the robot. These are the outputs of the network. You can click directly on them to force the robot to do an action. Reward: reward that the robot receives for each action during a reinforcement learning. Level : average of the rewards over the last 2 minutes. Robot battery level. When the robot is not connected, a representation of the simulated robot is displayed instead. The arena is represented by a rectangle, the robot by a triangle. (The front is the smallest side).