The field of robotics and artificial intelligence is witnessing a significant shift towards enhancing human-robot interaction and collaboration through the integration of advanced cognitive models. Recent research emphasizes the importance of Theory of Mind (ToM) in enabling robots to better understand and predict human behavior, thereby improving their assistive capabilities. This trend is particularly evident in the use of reinforcement learning (RL) to develop adaptive behaviors that align with human preferences and cognitive processes. Additionally, there is a growing focus on making robotics more accessible and educational, with innovations like simplified programming languages designed to engage students in STEM learning. These developments not only advance the technical capabilities of AI but also broaden their applications in educational settings, fostering critical thinking and collaborative skills. Notably, the integration of innate values into RL models is emerging as a promising approach to creating AI agents that can balance diverse needs and interact harmoniously with human society. Overall, the field is progressing towards more intuitive, adaptive, and socially integrated AI systems.