Can you use your own code to provide me with a complete behavioral-learning AI? This AI will need to send and receive data to/from another system that then reads sensors from and controls a realistic robotic wolf (henceforth wolfy) motion via motors and creates realistic sounds. The AI needs to take the data from the robot control system's (henceforth RCS) user inputs (henceforth UI) and learn how to do the things the user is teaching it, just like a real dog or wolf would. The RCS has multi-axis IMU sensors on all parts of the wolfy that provide data to the AI on where the wolfy is being touched, and how hard the touch is. This includes data on the wolfy's own touches of the world around it, as well as UI of the user touching, petting, or holding any part of the wolfy. The RCS also senses the position and velocity and direction of movement of each part of the wolfy, both for the wolfy's own movements and for those where the user is moving the wolfy's limbs, body, head, or tail. The RCS also has image sensors in the eyes, and microphones in the ears, that feed their data in a stream to the AI. The AI needs to read those inputs, and learn to correctly respond to different types of input. For one example, a touch that is above a certain high threshold, with a velocity change that is a sudden drop or spike, indicates an impact. If the wolfy was moving a limb and the limb stops moving and this kind of detection occurs, it means the wolfy's limb hit something and stopped, so it should learn not to do that, especially in situations where it was moving the paw toward the user and the impact is on the side facing the user; it means it hit the user too hard. It should also learn that this requires a bashful response, and react in a contrite way with it's movements and sounds. If the wolfy was moving the paw toward the user and the impact was on the top side of the paw, or there is a sustained push detected over surface areas facing the user , it means the user is providing the wolfy negative feedback, slapping the paw away or pushing the whole wolfy away, so that the wolfy won't injure the user. If the microphones detect the user saying "no" then that tells the wolfy the same thing. If the microphones detect the user saying "sit" then the wolfy needs to perform all the actions required to position itself in a sitting position. There are many more behavioral examples, but they should be obvious from how a dog or a wolf actually behaves. The behavioral AI will need to have the basic behaviors already embedded in it, and learn when and how to apply them from user interactions like the above. It will also need to learn new behaviors from user interactions. For isntance, it needs to be able to visually follow user movements, so that it can see the user is pointing to a spot, and then listen to the user sounds so that it can hear the command the user is giving, and also respond to user touches to move toward or away from the touch depending on the user input and the situation. There will also be a Programming Mode the user can tell the wolfy AI to enter, where the user can position the wolfy, or move it in whatever way is needed, while telling the wolfy that this is a new behavior. That behavior is then recorded as a new behavior that will occur whenever needed or called for by the user. There will be a second part of the Programming Mode where the user can modify existing behaviors. The user's command will call up a behavior, and the wolfy will play it back, and the user then manipulates the wolfy or tells it to do something differently or visually indicates some change, and the wolfy modifies the behavior until the user says it matches the desired change, and saves the behavior as a new version of that behavior. The same process can be used to create new behaviors from old ones. Other parts of the wolfy behaviors include going to sleep like a dog whenever the user isn't interacting with it for some amount of time. This sleep mode will include typical dog sleep behaviors, like puppy dreaming, snoring, etc. When it wakes it will be sleepy and slow to respond to behaviors for a short but variable time. All of the behaviors and responses will be varied each time they are used, so that it appears more alive to the user.
Creating a complete behavioral-learning AI for a robotic wolf like "Wolfy" is a complex and multidisciplinary task that involves robotics, machine learning, sensor integration, and real-time control systems. Below, I’ll outline a high-level architecture and provide a Python-based framework to get you started. This framework will include basic behaviors, learning mechanisms, and integration with the RCS (Robot Control System).