Recognizing and Generating Novel Emotional Behaviors on Two Robotic Platforms
Recent advancements in language modeling have enabled robots to more easily generate complex behaviors. However, ensuring that the generated behaviors align with the intended emotional states of the robot is necessary in many domains where robots are used. In this paper, we present an adversarial-li