A new thinking-learning interaction model for autonomous robots allows them to adapt to changing environments by improving their learning processes and decision-making capabilities. Experimental results demonstrate significant improvements in recognition accuracy and action efficiency, indicating a potential shift in how robots can operate autonomously over time.