Figure 3
The diagram illustrates a robot's path planning process using the Q-learning algorithm. It includes three main sections: the initial state, actions, and the final solution. The initial state shows a grid with obstacles and a red circle representing the robot's starting position. The actions section displays possible movements with arrows indicating directions. The final solution section shows the robot's path to the goal, marked by a red square. Additionally, a dynamic reward grid and a Q table are depicted, which the robot uses to learn and navigate the environment.The robot’s path planning based on Q-learning algorithm